{"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/12","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":12,"pages_in_order":27,"rows_per_page":100,"rows":[1101,1200],"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/11","next":"/task/autonomous-vehicles/papers/13","papers":[{"url":null,"slug":"testing-large-language-models-on-driving","title":"Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles","date":"2024-07-24","arxiv_id":"2407.17211","repositories_listed":0,"syntology":null},{"url":null,"slug":"mcts-based-dispatch-of-autonomous-vehicles","title":"MCTS Based Dispatch of Autonomous Vehicles under Operational Constraints for Continuous Transportation","date":"2024-07-23","arxiv_id":"2407.16200","repositories_listed":0,"syntology":null},{"url":null,"slug":"velocity-driven-vision-asynchronous-sensor","title":"Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles","date":"2024-07-23","arxiv_id":"2407.16636","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-aware-vehicle-trajectory-prediction","title":"Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios","date":"2024-07-18","arxiv_id":"2407.13480","repositories_listed":0,"syntology":null},{"url":null,"slug":"visiontrap-vision-augmented-trajectory","title":"VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions","date":"2024-07-17","arxiv_id":"2407.12345","repositories_listed":0,"syntology":null},{"url":null,"slug":"v2x-m2c-efficient-multi-module-collaborative","title":"ParCon: Noise-Robust Collaborative Perception via Multi-module Parallel Connection","date":"2024-07-16","arxiv_id":"2407.11546","repositories_listed":0,"syntology":null},{"url":null,"slug":"communication-aware-reinforcement-learning","title":"Communication-Aware Reinforcement Learning for Cooperative Adaptive Cruise Control","date":"2024-07-12","arxiv_id":"2407.08964","repositories_listed":0,"syntology":null},{"url":null,"slug":"commrad-context-aware-sensing-driven","title":"CommRad: Context-Aware Sensing-Driven Millimeter-Wave Networks","date":"2024-07-11","arxiv_id":"2407.08817","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-anomaly-detection-and-reactive","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","date":"2024-07-11","arxiv_id":"2407.08735","repositories_listed":0,"syntology":null},{"url":null,"slug":"invisible-optical-adversarial-stripes-on","title":"Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles","date":"2024-07-10","arxiv_id":"2407.07510","repositories_listed":0,"syntology":null},{"url":null,"slug":"lsm-a-comprehensive-metric-for-assessing-the","title":"LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving","date":"2024-07-10","arxiv_id":"2407.07740","repositories_listed":0,"syntology":null},{"url":null,"slug":"ndst-neural-driving-style-transfer-for-human","title":"NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving","date":"2024-07-10","arxiv_id":"2407.08073","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-neurosymbolic-approach-to-adaptive-feature","title":"A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM","date":"2024-07-09","arxiv_id":"2407.06889","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-camera-encoder-designs-for","title":"Exploring Camera Encoder Designs for Autonomous Driving Perception","date":"2024-07-09","arxiv_id":"2407.07276","repositories_listed":0,"syntology":null},{"url":null,"slug":"mapstp-hd-map-images-based-multimodal","title":"MapsTP: HD Map Images Based Multimodal Trajectory Prediction for Automated Vehicles","date":"2024-07-08","arxiv_id":"2407.05811","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-petri-nets-as-an-integrated-constraint","title":"Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasks","date":"2024-07-05","arxiv_id":"2407.04481","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatio-temporal-cooperative-control-method-of","title":"Spatio-temporal cooperative control Method of Highway Ramp Merge Based on Vehicle-road Coordination","date":"2024-07-04","arxiv_id":"2407.03671","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-autopilot-constrained-drl-for","title":"Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors","date":"2024-07-02","arxiv_id":"2407.02546","repositories_listed":0,"syntology":null},{"url":null,"slug":"acceleration-method-for-generating-perception","title":"Acceleration method for generating perception failure scenarios based on editing Markov process","date":"2024-07-01","arxiv_id":"2407.00980","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-reinforcement-learning-for-adverse","title":"Deep Reinforcement Learning for Adverse Garage Scenario Generation","date":"2024-07-01","arxiv_id":"2407.01333","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamically-modulating-visual-place","title":"Dynamically Modulating Visual Place Recognition Sequence Length For Minimum Acceptable Performance Scenarios","date":"2024-07-01","arxiv_id":"2407.00863","repositories_listed":0,"syntology":null},{"url":null,"slug":"benchmarks-for-reinforcement-learning-with","title":"Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators","date":"2024-06-30","arxiv_id":"2407.00806","repositories_listed":0,"syntology":null},{"url":null,"slug":"cooperative-advisory-residual-policies-for","title":"Cooperative Advisory Residual Policies for Congestion Mitigation","date":"2024-06-30","arxiv_id":"2407.00553","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-rule-based-behaviour-planner-for-autonomous","title":"A Rule-Based Behaviour Planner for Autonomous Driving","date":"2024-06-29","arxiv_id":"2407.00460","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-stage-goal-driven-network-for","title":"A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction","date":"2024-06-26","arxiv_id":"2406.18050","repositories_listed":0,"syntology":null},{"url":null,"slug":"decentralized-semantic-traffic-control-in-avs","title":"Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks","date":"2024-06-26","arxiv_id":"2406.18741","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-tunnelling-deep-neural-networks-for","title":"Quantum-tunnelling deep neural network for optical illusion recognition","date":"2024-06-26","arxiv_id":"2407.11013","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-structure-flow","title":"Real-time Structure Flow","date":"2024-06-26","arxiv_id":"2406.18031","repositories_listed":0,"syntology":null},{"url":null,"slug":"querying-labeled-time-series-data-with","title":"Querying Labeled Time Series Data with Scenario Programs","date":"2024-06-25","arxiv_id":"2406.17627","repositories_listed":0,"syntology":null},{"url":null,"slug":"tolerance-of-reinforcement-learning","title":"Tolerance of Reinforcement Learning Controllers against Deviations in Cyber Physical Systems","date":"2024-06-24","arxiv_id":"2406.17066","repositories_listed":0,"syntology":null},{"url":null,"slug":"editfollower-tunable-car-following-models-for","title":"EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems","date":"2024-06-23","arxiv_id":"2407.02516","repositories_listed":0,"syntology":null},{"url":null,"slug":"lanesegnet-design-study","title":"LaneSegNet Design Study","date":"2024-06-22","arxiv_id":"2406.15946","repositories_listed":0,"syntology":null},{"url":null,"slug":"advantage-alignment-algorithms","title":"Advantage Alignment Algorithms","date":"2024-06-20","arxiv_id":"2406.14662","repositories_listed":0,"syntology":null},{"url":null,"slug":"evsegsnn-neuromorphic-semantic-segmentation","title":"EvSegSNN: Neuromorphic Semantic Segmentation for Event Data","date":"2024-06-20","arxiv_id":"2406.14178","repositories_listed":0,"syntology":null},{"url":null,"slug":"uav-based-intelligent-information-systems-on","title":"UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles","date":"2024-06-18","arxiv_id":"2406.12370","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-first-physical-world-trajectory-prediction","title":"A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving","date":"2024-06-17","arxiv_id":"2406.11707","repositories_listed":0,"syntology":null},{"url":null,"slug":"communication-efficient-marl-for-platoon","title":"Communication-Efficient MARL for Platoon Stability and Energy-efficiency Co-optimization in Cooperative Adaptive Cruise Control of CAVs","date":"2024-06-17","arxiv_id":"2406.11653","repositories_listed":0,"syntology":null},{"url":null,"slug":"unleashing-opentitan-s-potential-a-silicon","title":"Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading","date":"2024-06-17","arxiv_id":"2406.11558","repositories_listed":0,"syntology":null},{"url":null,"slug":"rmf-a-risk-measurement-framework-for-machine","title":"RMF: A Risk Measurement Framework for Machine Learning Models","date":"2024-06-15","arxiv_id":"2406.12929","repositories_listed":0,"syntology":null},{"url":null,"slug":"classical-and-quantum-physical-reservoir","title":"Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective","date":"2024-06-14","arxiv_id":"2407.04717","repositories_listed":0,"syntology":null},{"url":null,"slug":"cimrl-combining-imitiation-and-reinforcement","title":"CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving","date":"2024-06-13","arxiv_id":"2406.08878","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiagent-multitraversal-multimodal-self-1","title":"Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset","date":"2024-06-13","arxiv_id":"2406.09383","repositories_listed":0,"syntology":null},{"url":null,"slug":"outdoor-scene-extrapolation-with-hierarchical-1","title":"Outdoor Scene Extrapolation with Hierarchical Generative Cellular Automata","date":"2024-06-12","arxiv_id":"2406.08292","repositories_listed":0,"syntology":null},{"url":null,"slug":"redefining-automotive-radar-imaging-a-domain","title":"Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance","date":"2024-06-11","arxiv_id":"2406.07399","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-superalignment-framework-in-autonomous","title":"A Superalignment Framework in Autonomous Driving with Large Language Models","date":"2024-06-09","arxiv_id":"2406.05651","repositories_listed":0,"syntology":null},{"url":null,"slug":"tr2mtl-llm-based-framework-for-metric","title":"TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules","date":"2024-06-09","arxiv_id":"2406.05709","repositories_listed":0,"syntology":null},{"url":null,"slug":"gensafe-a-generalizable-safety-enhancer-for","title":"GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model","date":"2024-06-06","arxiv_id":"2406.03912","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-localization-with-semantics-map-for","title":"Monocular Localization with Semantics Map for Autonomous Vehicles","date":"2024-06-06","arxiv_id":"2406.03835","repositories_listed":0,"syntology":null},{"url":null,"slug":"frea-feasibility-guided-generation-of-safety","title":"FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality","date":"2024-06-05","arxiv_id":"2406.02983","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-clipper-enhancing-safety-and","title":"Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models","date":"2024-06-05","arxiv_id":"2406.03229","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-deep-learning-based-radar-and","title":"A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving","date":"2024-06-02","arxiv_id":"2406.00714","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-3d-virtual-patches-using","title":"Adversarial 3D Virtual Patches using Integrated Gradients","date":"2024-06-01","arxiv_id":"2406.00282","repositories_listed":0,"syntology":null},{"url":null,"slug":"pedestrian-intention-prediction-in-adverse","title":"Pedestrian intention prediction in Adverse Weather Conditions with Spiking Neural Networks and Dynamic Vision Sensors","date":"2024-06-01","arxiv_id":"2406.00473","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-structure-aware-lane-graph-transformer","title":"A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction","date":"2024-05-30","arxiv_id":"2405.20121","repositories_listed":0,"syntology":null},{"url":null,"slug":"safe-multi-agent-reinforcement-learning-with-1","title":"Safe Multi-agent Reinforcement Learning with Natural Language Constraints","date":"2024-05-30","arxiv_id":"2405.20018","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-platooning-model-for-connected-and","title":"A new platooning model for connected and autonomous vehicles to improve string stability","date":"2024-05-29","arxiv_id":"2405.18791","repositories_listed":0,"syntology":null},{"url":null,"slug":"muli-ev-maintaining-unperturbed-lidar-event","title":"MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration","date":"2024-05-28","arxiv_id":"2405.18021","repositories_listed":0,"syntology":null},{"url":null,"slug":"collective-perception-datasets-for-autonomous","title":"Collective Perception Datasets for Autonomous Driving: A Comprehensive Review","date":"2024-05-27","arxiv_id":"2405.16973","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-3d-occupancy-prediction-through","title":"Improving 3D Occupancy Prediction through Class-balancing Loss and Multi-scale Representation","date":"2024-05-25","arxiv_id":"2405.16099","repositories_listed":0,"syntology":null},{"url":null,"slug":"autonomous-algorithm-for-training-autonomous","title":"Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention","date":"2024-05-22","arxiv_id":"2405.13345","repositories_listed":0,"syntology":null},{"url":null,"slug":"coverage-path-planning-for-thermal-interface","title":"Coverage Path Planning for Thermal Interface Materials","date":"2024-05-22","arxiv_id":"2405.13512","repositories_listed":0,"syntology":null},{"url":null,"slug":"highwayllm-decision-making-and-navigation-in","title":"HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model","date":"2024-05-22","arxiv_id":"2405.13547","repositories_listed":0,"syntology":null},{"url":null,"slug":"mutual-information-analysis-in-multimodal","title":"Mutual Information Analysis in Multimodal Learning Systems","date":"2024-05-21","arxiv_id":"2405.12456","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-multi-objective-reinforcement","title":"Generalized Multi-Objective Reinforcement Learning with Envelope Updates in URLLC-enabled Vehicular Networks","date":"2024-05-18","arxiv_id":"2405.11331","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-koopman-operator-informed-safety-command","title":"Deep Koopman Operator-Informed Safety Command Governor for Autonomous Vehicles","date":"2024-05-16","arxiv_id":"2405.10145","repositories_listed":0,"syntology":null},{"url":null,"slug":"incorporating-eso-into-deep-koopman-operator","title":"Incorporating ESO into Deep Koopman Operator Modelling for Control of Autonomous Vehicles","date":"2024-05-16","arxiv_id":"2405.10157","repositories_listed":0,"syntology":null},{"url":null,"slug":"pillarnext-improving-the-3d-detector-by","title":"*: Improving the 3D detector by introducing Voxel2Pillar feature encoding and extracting multi-scale features","date":"2024-05-16","arxiv_id":"2405.09828","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-and-enhancing-queue-sampling-for","title":"Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits","date":"2024-05-15","arxiv_id":"2405.09430","repositories_listed":0,"syntology":null},{"url":null,"slug":"comprehensive-analysis-of-access-control","title":"Edge Computing for IoT: Novel Insights from a Comparative Analysis of Access Control Models","date":"2024-05-13","arxiv_id":"2405.07685","repositories_listed":0,"syntology":null},{"url":null,"slug":"gps-imu-sensor-fusion-for-reliable-autonomous","title":"GPS-IMU Sensor Fusion for Reliable Autonomous Vehicle Position Estimation","date":"2024-05-13","arxiv_id":"2405.08119","repositories_listed":0,"syntology":null},{"url":null,"slug":"fairness-in-reinforcement-learning-a-survey","title":"Fairness in Reinforcement Learning: A Survey","date":"2024-05-11","arxiv_id":"2405.06909","repositories_listed":0,"syntology":null},{"url":null,"slug":"autonomous-driving-with-a-deep-dual-model","title":"Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control","date":"2024-05-10","arxiv_id":"2405.06473","repositories_listed":0,"syntology":null},{"url":null,"slug":"graphrelate3d-context-dependent-3d-object","title":"GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs","date":"2024-05-10","arxiv_id":"2405.06782","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-level-personalized-federated-learning","title":"Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data","date":"2024-05-10","arxiv_id":"2405.06413","repositories_listed":0,"syntology":null},{"url":null,"slug":"switched-vector-field-based-guidance-for","title":"Switched Vector Field-based Guidance for General Reference Path Following in Planar Environment","date":"2024-05-10","arxiv_id":"2405.06355","repositories_listed":0,"syntology":null},{"url":null,"slug":"shaping-the-future-of-urban-mobility-insights","title":"Shaping the Future of Urban Mobility: Insights into Autonomous Vehicle Acceptance in Shanghai Through TAM and Perceived Risk Analysis","date":"2024-05-09","arxiv_id":"2405.05578","repositories_listed":0,"syntology":null},{"url":null,"slug":"novel-actor-critic-algorithm-for-robust","title":"Novel Actor-Critic Algorithm for Robust Decision Making of CAV under Delays and Loss of V2X Data","date":"2024-05-08","arxiv_id":"2405.05072","repositories_listed":0,"syntology":null},{"url":null,"slug":"radar-fields-frequency-space-neural-scene","title":"Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar","date":"2024-05-07","arxiv_id":"2405.04662","repositories_listed":0,"syntology":null},{"url":null,"slug":"torchdriveenv-a-reinforcement-learning","title":"TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters","date":"2024-05-07","arxiv_id":"2405.04491","repositories_listed":0,"syntology":null},{"url":null,"slug":"complex-video-reasoning-and-robustness","title":"How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs","date":"2024-05-06","arxiv_id":"2405.03690","repositories_listed":0,"syntology":null},{"url":null,"slug":"systematic-review-anomaly-detection-in","title":"Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles","date":"2024-05-04","arxiv_id":"2405.02731","repositories_listed":0,"syntology":null},{"url":null,"slug":"dyna-style-learning-with-a-macroscopic-model","title":"Dyna-Style Learning with A Macroscopic Model for Vehicle Platooning in Mixed-Autonomy Traffic","date":"2024-05-03","arxiv_id":"2405.02062","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-probabilistic-scenario-programs","title":"ScenicNL: Generating Probabilistic Scenario Programs from Natural Language","date":"2024-05-03","arxiv_id":"2405.03709","repositories_listed":0,"syntology":null},{"url":null,"slug":"obstacle-avoidance-of-autonomous-vehicles-an","title":"Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region","date":"2024-05-03","arxiv_id":"2405.02030","repositories_listed":0,"syntology":null},{"url":null,"slug":"rare-collision-risk-estimation-of-autonomous","title":"Rare Collision Risk Estimation of Autonomous Vehicles with Multi-Agent Situation Awareness","date":"2024-05-02","arxiv_id":"2405.01011","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-the-safety-benefits-of-cacc-based","title":"Assessing the safety benefits of CACC+ based coordination of connected and autonomous vehicle platoons in emergency braking scenarios","date":"2024-04-30","arxiv_id":"2404.19189","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-pointnet-and-pointnet-for-lyft","title":"Leveraging PointNet and PointNet++ for Lyft Point Cloud Classification Challenge","date":"2024-04-29","arxiv_id":"2404.18665","repositories_listed":0,"syntology":null},{"url":null,"slug":"revolutionizing-traffic-sign-recognition","title":"Revolutionizing Traffic Sign Recognition: Unveiling the Potential of Vision Transformers","date":"2024-04-29","arxiv_id":"2404.19066","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-training-superconducting-neuromorphic","title":"Self-training superconducting neuromorphic circuits using reinforcement learning rules","date":"2024-04-29","arxiv_id":"2404.18774","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-planning-for-off-road-autonomous","title":"Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation","date":"2024-04-27","arxiv_id":"2404.17820","repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-road-surface-grip-map-prediction-from","title":"Dense Road Surface Grip Map Prediction from Multimodal Image Data","date":"2024-04-26","arxiv_id":"2404.17324","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-track-management-systems-with","title":"Enhancing Track Management Systems with Vehicle-To-Vehicle Enabled Sensor Fusion","date":"2024-04-26","arxiv_id":"2404.17697","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-federated-learning-framework-for","title":"On the Federated Learning Framework for Cooperative Perception","date":"2024-04-26","arxiv_id":"2404.17147","repositories_listed":0,"syntology":null},{"url":null,"slug":"redefining-safety-for-autonomous-vehicles","title":"Redefining Safety for Autonomous Vehicles","date":"2024-04-25","arxiv_id":"2404.16768","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextualfusion-context-based-multi-sensor","title":"ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions","date":"2024-04-23","arxiv_id":"2404.14780","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-high-speed-cruising-performance-of","title":"Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework","date":"2024-04-23","arxiv_id":"2404.14713","repositories_listed":0,"syntology":null},{"url":null,"slug":"cloudfort-enhancing-robustness-of-3d-point","title":"CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction","date":"2024-04-22","arxiv_id":"2404.14042","repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-perception-datasets-in","title":"Collaborative Perception Datasets in Autonomous Driving: A Survey","date":"2024-04-22","arxiv_id":"2404.14022","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimization-based-heuristic-for-vehicle","title":"Optimization-based Heuristic for Vehicle Dynamic Coordination in Mixed Traffic Intersections","date":"2024-04-22","arxiv_id":"2404.14048","repositories_listed":0,"syntology":null},{"url":null,"slug":"poisoning-attacks-on-federated-learning-based","title":"Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction","date":"2024-04-22","arxiv_id":"2404.14389","repositories_listed":0,"syntology":null}],"record_sha256":"ce8d07bec558d985faf34d862b98da69f9f4b073519519a728e1a0c041f6af14","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}