{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/autonomous-vehicles/papers/14","list_of":"/task/autonomous-vehicles","task":"Autonomous Vehicles","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":14,"pages_in_order":27,"rows_per_page":100,"rows":[1301,1400],"of":2605,"counts":{"archive_papers_tagged":2605,"with_a_code_link":695,"where_syntology_ran_a_sample":113,"not_listed_spam_title":0,"listed":2605,"listed_where_code_ran":113,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":93,"every_run_a_failure_of_syntologys_instrument":20,"listed_with_a_run_with_no_instrument_failure":93,"listed_every_run_a_failure_of_syntologys_instrument":20,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/autonomous-vehicles","prev":"/task/autonomous-vehicles/papers/13","next":"/task/autonomous-vehicles/papers/15","papers":[{"url":null,"slug":"pedestrian-detection-in-low-light-conditions","title":"Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey","date":"2024-01-15","arxiv_id":"2401.07801","repositories_listed":0,"syntology":null},{"url":null,"slug":"ssl-interactions-pretext-tasks-for","title":"SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction","date":"2024-01-15","arxiv_id":"2401.07729","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-the-applications-of-frontier-ai","title":"A Survey on the Applications of Frontier AI, Foundation Models, and Large Language Models to Intelligent Transportation Systems","date":"2024-01-12","arxiv_id":"2401.06831","repositories_listed":0,"syntology":null},{"url":null,"slug":"hyper-sttn-social-group-aware-spatial","title":"Hyper-STTN: Social Group-aware Spatial-Temporal Transformer Network for Human Trajectory Prediction with Hypergraph Reasoning","date":"2024-01-12","arxiv_id":"2401.06344","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-aware-graph-transformer-for","title":"Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction","date":"2024-01-10","arxiv_id":"2401.04872","repositories_listed":0,"syntology":null},{"url":null,"slug":"invisible-reflections-leveraging-infrared","title":"Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception","date":"2024-01-07","arxiv_id":"2401.03582","repositories_listed":0,"syntology":null},{"url":null,"slug":"novelgym-a-flexible-ecosystem-for-hybrid","title":"NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds","date":"2024-01-07","arxiv_id":"2401.03546","repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-perception-for-connected-and","title":"Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities","date":"2024-01-03","arxiv_id":"2401.01544","repositories_listed":0,"syntology":null},{"url":null,"slug":"experimental-validation-of-sensor-fusion","title":"Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles","date":"2024-01-02","arxiv_id":"2401.01304","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-graph-neural-networks-in","title":"A Survey on Graph Neural Networks in Intelligent Transportation Systems","date":"2024-01-01","arxiv_id":"2401.00713","repositories_listed":0,"syntology":null},{"url":null,"slug":"cadet-a-causal-disentanglement-approach-for","title":"CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-learning-for-motion-prediction","title":"Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"flow-guided-online-stereo-rectification-for","title":"Flow-Guided Online Stereo Rectification for Wide Baseline Stereo","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"msu-4s-the-michigan-state-university-four","title":"MSU-4S - The Michigan State University Four Seasons Dataset","date":"2024-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"point-cloud-in-the-air","title":"Point Cloud in the Air","date":"2024-01-01","arxiv_id":"2401.00658","repositories_listed":0,"syntology":null},{"url":null,"slug":"socially-compliant-control-of-autonomous","title":"Socially Compliant Control of Autonomous Vehicles with Application to Eco-Driving","date":"2024-01-01","arxiv_id":"2401.00830","repositories_listed":0,"syntology":null},{"url":null,"slug":"ar-gan-generative-adversarial-network-based","title":"AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles","date":"2023-12-31","arxiv_id":"2401.14232","repositories_listed":0,"syntology":null},{"url":null,"slug":"rainsd-rain-style-diversification-module-for","title":"RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution","date":"2023-12-31","arxiv_id":"2401.00460","repositories_listed":0,"syntology":null},{"url":null,"slug":"attack-tree-analysis-for-adversarial-evasion","title":"Attack Tree Analysis for Adversarial Evasion Attacks","date":"2023-12-28","arxiv_id":"2312.16957","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-of-cascading-collisions-in-network-of","title":"Risk of Cascading Collisions in Network of Vehicles with Delayed Communication","date":"2023-12-28","arxiv_id":"2312.17147","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-anticipatory-autonomous-driving","title":"Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning","date":"2023-12-27","arxiv_id":"2401.08661","repositories_listed":0,"syntology":null},{"url":null,"slug":"in-lab-implementation-of-dsrc-phy-layer","title":"In-Lab Implementation of DSRC PHY Layer","date":"2023-12-26","arxiv_id":"2312.16255","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-3d-object-detection-using-lidar","title":"End-to-End 3D Object Detection using LiDAR Point Cloud","date":"2023-12-24","arxiv_id":"2312.15377","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-value-alignment","title":"Measuring Value Alignment","date":"2023-12-23","arxiv_id":"2312.15241","repositories_listed":0,"syntology":null},{"url":null,"slug":"manipulating-trajectory-prediction-with","title":"Manipulating Trajectory Prediction with Backdoors","date":"2023-12-21","arxiv_id":"2312.13863","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-agent-probabilistic-ensembles-with","title":"Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles","date":"2023-12-21","arxiv_id":"2312.13910","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-clmi-a-motor-imagery-eeg-classification","title":"3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention","date":"2023-12-20","arxiv_id":"2312.12744","repositories_listed":0,"syntology":null},{"url":null,"slug":"bevseg2tp-surround-view-camera-bird-s-eye","title":"BEVSeg2TP: Surround View Camera Bird's-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction","date":"2023-12-20","arxiv_id":"2312.13081","repositories_listed":0,"syntology":null},{"url":null,"slug":"first-qualitative-observations-on-deep","title":"First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria","date":"2023-12-19","arxiv_id":"2312.12314","repositories_listed":0,"syntology":null},{"url":null,"slug":"realgen-retrieval-augmented-generation-for","title":"RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios","date":"2023-12-19","arxiv_id":"2312.13303","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-based-particle-detr-for-bev","title":"Diffusion-Based Particle-DETR for BEV Perception","date":"2023-12-18","arxiv_id":"2312.11578","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-stochastic-graph-generator-for","title":"Robust Stochastic Graph Generator for Counterfactual Explanations","date":"2023-12-18","arxiv_id":"2312.11747","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-case-study-of-image-enhancement-algorithms","title":"A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images","date":"2023-12-15","arxiv_id":"2312.09509","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-empirical-windowing-an-attention-based","title":"Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles","date":"2023-12-15","arxiv_id":"2312.10209","repositories_listed":0,"syntology":null},{"url":null,"slug":"neuroflow-development-of-lightweight-and","title":"NeuroFlow: Development of lightweight and efficient model integration scheduling strategy for autonomous driving system","date":"2023-12-15","arxiv_id":"2312.09588","repositories_listed":0,"syntology":null},{"url":null,"slug":"challenges-of-yolo-series-for-object","title":"Challenges of YOLO Series for Object Detection in Extremely Heavy Rain: CALRA Simulator based Synthetic Evaluation Dataset","date":"2023-12-13","arxiv_id":"2312.07976","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimization-of-power-control-for-autonomous","title":"Optimization of Power Control for Autonomous Hybrid Electric Vehicles with Flexible Power Demand","date":"2023-12-13","arxiv_id":"2312.07894","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-impact-of-cdl-and-tdl-augmentation-for","title":"On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels","date":"2023-12-11","arxiv_id":"2312.06555","repositories_listed":0,"syntology":null},{"url":null,"slug":"pedestrian-and-passenger-interaction-with","title":"Pedestrian and Passenger Interaction with Autonomous Vehicles: Field Study in a Crosswalk Scenario","date":"2023-12-11","arxiv_id":"2312.07606","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-decentralized-cooperative-platoon","title":"Scalable Decentralized Cooperative Platoon using Multi-Agent Deep Reinforcement Learning","date":"2023-12-11","arxiv_id":"2312.06858","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-one-model-fits-all-ensemble-deep","title":"Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles","date":"2023-12-10","arxiv_id":"2312.05759","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-based-prediction-and-planning-policy","title":"Graph-based Prediction and Planning Policy Network (GP3Net) for scalable self-driving in dynamic environments using Deep Reinforcement Learning","date":"2023-12-10","arxiv_id":"2312.05784","repositories_listed":0,"syntology":null},{"url":null,"slug":"development-and-assessment-of-autonomous","title":"Development and Assessment of Autonomous Vehicles in Both Fully Automated and Mixed Traffic Conditions","date":"2023-12-08","arxiv_id":"2312.04805","repositories_listed":0,"syntology":null},{"url":null,"slug":"prospective-role-of-foundation-models-in","title":"Prospective Role of Foundation Models in Advancing Autonomous Vehicles","date":"2023-12-08","arxiv_id":"2405.02288","repositories_listed":0,"syntology":null},{"url":null,"slug":"residual-graph-convolutional-network-for-bird","title":"Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation","date":"2023-12-07","arxiv_id":"2312.04044","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyze-drivers-intervention-behavior-during","title":"Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach","date":"2023-12-04","arxiv_id":"2312.01669","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-efficiency-of-dnn-based","title":"Improving Efficiency of DNN-based Relocalization Module for Autonomous Driving with Server-side Computing","date":"2023-12-01","arxiv_id":"2312.00316","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-efficient-3d-object-detection-in-bird","title":"Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach","date":"2023-12-01","arxiv_id":"2312.00633","repositories_listed":0,"syntology":null},{"url":null,"slug":"categorical-traffic-transformer-interpretable","title":"Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent","date":"2023-11-30","arxiv_id":"2311.18307","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-for-semantic-knowledge-base-guided","title":"Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels","date":"2023-11-30","arxiv_id":"2311.18316","repositories_listed":0,"syntology":null},{"url":null,"slug":"planning-reliability-assurance-tests-for","title":"Planning Reliability Assurance Tests for Autonomous Vehicles","date":"2023-11-30","arxiv_id":"2312.00186","repositories_listed":0,"syntology":null},{"url":null,"slug":"s-t-crf-spatial-temporal-conditional-random","title":"S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction","date":"2023-11-30","arxiv_id":"2311.18198","repositories_listed":0,"syntology":null},{"url":null,"slug":"game-projection-and-robustness-for-game","title":"Game Projection and Robustness for Game-Theoretic Autonomous Driving","date":"2023-11-29","arxiv_id":"2311.18074","repositories_listed":0,"syntology":null},{"url":null,"slug":"empowering-autonomous-driving-with-large","title":"Empowering Autonomous Driving with Large Language Models: A Safety Perspective","date":"2023-11-28","arxiv_id":"2312.00812","repositories_listed":0,"syntology":null},{"url":null,"slug":"lane-keeping-control-of-autonomous-vehicles","title":"Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR","date":"2023-11-28","arxiv_id":"2311.16900","repositories_listed":0,"syntology":null},{"url":null,"slug":"interactive-autonomous-navigation-with","title":"Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation","date":"2023-11-27","arxiv_id":"2311.16091","repositories_listed":0,"syntology":null},{"url":null,"slug":"gpt-4v-takes-the-wheel-evaluating-promise-and","title":"GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction","date":"2023-11-24","arxiv_id":"2311.14786","repositories_listed":0,"syntology":null},{"url":null,"slug":"idd-aw-a-benchmark-for-safe-and-robust","title":"IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather","date":"2023-11-24","arxiv_id":"2311.14459","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-boundaries-a-comprehensive-survey-of","title":"Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems","date":"2023-11-20","arxiv_id":"2311.11796","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-meets-mmwave-radar-3d-object","title":"Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving","date":"2023-11-17","arxiv_id":"2311.10261","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-checking-for-closed-loop-robot-reactive","title":"Model Checking for Closed-Loop Robot Reactive Planning","date":"2023-11-16","arxiv_id":"2311.09780","repositories_listed":0,"syntology":null},{"url":null,"slug":"applications-of-computer-vision-in-autonomous","title":"Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions","date":"2023-11-15","arxiv_id":"2311.09093","repositories_listed":0,"syntology":null},{"url":null,"slug":"lateral-control-for-autonomous-vehicles-a","title":"Lateral control for autonomous vehicles: A comparative evaluation","date":"2023-11-14","arxiv_id":"2311.07987","repositories_listed":0,"syntology":null},{"url":null,"slug":"physical-adversarial-examples-for-multi","title":"Physical Adversarial Examples for Multi-Camera Systems","date":"2023-11-14","arxiv_id":"2311.08539","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-improving-robustness-against-common","title":"Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning","date":"2023-11-14","arxiv_id":"2311.07928","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-robustness-in-cyber-physical","title":"Investigating Robustness in Cyber-Physical Systems: Specification-Centric Analysis in the face of System Deviations","date":"2023-11-13","arxiv_id":"2311.07462","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimising-human-ai-collaboration-by-learning","title":"Optimising Human-AI Collaboration by Learning Convincing Explanations","date":"2023-11-13","arxiv_id":"2311.07426","repositories_listed":0,"syntology":null},{"url":null,"slug":"simultaneous-clutter-detection-and-semantic","title":"Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar Data","date":"2023-11-13","arxiv_id":"2311.07247","repositories_listed":0,"syntology":null},{"url":null,"slug":"testing-learning-enabled-cyber-physical","title":"Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approach","date":"2023-11-13","arxiv_id":"2311.07377","repositories_listed":0,"syntology":null},{"url":null,"slug":"trajectories-and-platoon-forming-algorithm","title":"Trajectories and Platoon-forming Algorithm for Intersections with Heterogeneous Autonomous Traffic","date":"2023-11-13","arxiv_id":"2311.07435","repositories_listed":0,"syntology":null},{"url":null,"slug":"resolving-uncertainty-on-the-fly-modeling","title":"Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference","date":"2023-11-10","arxiv_id":"2311.06417","repositories_listed":0,"syntology":null},{"url":null,"slug":"scenario-diffusion-controllable-driving","title":"Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion","date":"2023-11-05","arxiv_id":"2311.02738","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-chaos-to-calibration-a-geometric-mutual","title":"From Chaos to Calibration: A Geometric Mutual Information Approach to Target-Free Camera LiDAR Extrinsic Calibration","date":"2023-11-03","arxiv_id":"2311.01905","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-lidar-localization-and-mapping-pipeline","title":"Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving","date":"2023-11-03","arxiv_id":"2311.01823","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversary-ml-resilience-in-autonomous-driving","title":"Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms","date":"2023-11-02","arxiv_id":"2311.01478","repositories_listed":0,"syntology":null},{"url":null,"slug":"drnet-a-decision-making-method-for-autonomous","title":"DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning","date":"2023-11-02","arxiv_id":"2311.01602","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-making-for-autonomous-vehicles-with","title":"Decision-Making for Autonomous Vehicles with Interaction-Aware Behavioral Prediction and Social-Attention Neural Network","date":"2023-10-31","arxiv_id":"2310.20148","repositories_listed":0,"syntology":null},{"url":null,"slug":"safety-aware-causal-representation-for","title":"Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving","date":"2023-10-31","arxiv_id":"2311.10747","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-online-source-free-domain","title":"Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition","date":"2023-10-30","arxiv_id":"2310.19258","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-stochastic-nonlinear-model-predictive","title":"A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control","date":"2023-10-28","arxiv_id":"2310.18753","repositories_listed":0,"syntology":null},{"url":null,"slug":"interactive-motion-planning-for-autonomous","title":"Interactive Joint Planning for Autonomous Vehicles","date":"2023-10-27","arxiv_id":"2310.18301","repositories_listed":0,"syntology":null},{"url":null,"slug":"eqdrive-efficient-equivariant-motion","title":"EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving","date":"2023-10-26","arxiv_id":"2310.17540","repositories_listed":0,"syntology":null},{"url":null,"slug":"mvfan-multi-view-feature-assisted-network-for","title":"MVFAN: Multi-View Feature Assisted Network for 4D Radar Object Detection","date":"2023-10-25","arxiv_id":"2310.16389","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-traffic-simulation-a","title":"Data-driven Traffic Simulation: A Comprehensive Review","date":"2023-10-24","arxiv_id":"2310.15975","repositories_listed":0,"syntology":null},{"url":null,"slug":"adopt-lidar-spoofing-attack-detection-based","title":"ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency","date":"2023-10-23","arxiv_id":"2310.14504","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmenting-end-to-end-steering-angle","title":"Augmenting End-to-End Steering Angle Prediction with CAN Bus Data","date":"2023-10-22","arxiv_id":"2310.14162","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-driving-behavior-for-autonomous","title":"Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer","date":"2023-10-21","arxiv_id":"2310.13906","repositories_listed":0,"syntology":null},{"url":null,"slug":"cat-closed-loop-adversarial-training-for-safe","title":"CAT: Closed-loop Adversarial Training for Safe End-to-End Driving","date":"2023-10-19","arxiv_id":"2310.12432","repositories_listed":0,"syntology":null},{"url":null,"slug":"ki-pmf-knowledge-integrated-plausible-motion","title":"KI-PMF: Knowledge Integrated Plausible Motion Forecasting","date":"2023-10-18","arxiv_id":"2310.12007","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-safety-driver-attention","title":"Classification of Safety Driver Attention During Autonomous Vehicle Operation","date":"2023-10-17","arxiv_id":"2310.11608","repositories_listed":0,"syntology":null},{"url":null,"slug":"eco-driving-control-of-connected-and","title":"Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout","date":"2023-10-16","arxiv_id":"2310.10878","repositories_listed":0,"syntology":null},{"url":null,"slug":"k-smpc-koopman-operator-based-stochastic","title":"K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles","date":"2023-10-16","arxiv_id":"2310.10214","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-scenario-based-safety-validation-for","title":"Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models","date":"2023-10-16","arxiv_id":"2310.10635","repositories_listed":0,"syntology":null},{"url":null,"slug":"receive-reason-and-react-drive-as-you-say","title":"Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles","date":"2023-10-12","arxiv_id":"2310.08034","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-system-stability-analysis-of-multi","title":"Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic","date":"2023-10-11","arxiv_id":"2310.07689","repositories_listed":0,"syntology":null},{"url":null,"slug":"interaction-aware-traffic-prediction-and","title":"Interaction-aware Traffic Prediction and Scenario-based Model Predictive Control for Autonomous Vehicles on Highways","date":"2023-10-11","arxiv_id":"2310.07526","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-evaluation-of-practical-video","title":"End-to-end Evaluation of Practical Video Analytics Systems for Face Detection and Recognition","date":"2023-10-10","arxiv_id":"2310.06945","repositories_listed":0,"syntology":null},{"url":null,"slug":"cobevfusion-cooperative-perception-with-lidar","title":"CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion","date":"2023-10-09","arxiv_id":"2310.06008","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-self-supervised-learning-of","title":"Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles","date":"2023-10-07","arxiv_id":"2310.04837","repositories_listed":0,"syntology":null},{"url":null,"slug":"fully-sparse-long-range-3d-object-detection","title":"Towards Long-Range 3D Object Detection for Autonomous Vehicles","date":"2023-10-07","arxiv_id":"2310.04800","repositories_listed":0,"syntology":null}],"record_sha256":"a5fd31779164a0566045f1852c57ffd1d5f899676c2a33085536bad89927183d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}