Autonomous Vehicles

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

29 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

15 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 695 papers with code (2,605 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
  15 May 2017 25 repositories listed Syntology ran 2 of 7 samples · 5 unverified · 7 pointer-only (licence)
  Developing and testing algorithms for autonomous vehicles in real world is an expensive and time consuming process.
• Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
  8 Mar 2021 19 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Mobile devices such as smartphones and autonomous vehicles increasingly rely on deep neural networks (DNNs) to execute complex inference tasks such as image classification and speech recognition, among others.
• nuScenes: A multimodal dataset for autonomous driving
  26 Mar 2019 16 repositories listed Syntology ran 1 of 17 samples · 16 unverified
  Most autonomous vehicles, however, carry a combination of cameras and range sensors such as lidar and radar.
• Flow: A Modular Learning Framework for Mixed Autonomy Traffic
  16 Oct 2017 16 repositories listed Syntology ran 1 of 17 samples · 16 unverified
  Furthermore, in single-lane traffic, a small neural network control law with only local observation is found to eliminate stop-and-go traffic - surpassing all known model-based controllers to achieve near-optimal…
• Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
  15 Jan 2021 8 repositories listed
  The proposed deep dual-resolution networks (DDRNets) are composed of two deep branches between which multiple bilateral fusions are performed.
• LEAF: A Benchmark for Federated Settings
  3 Dec 2018 7 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Modern federated networks, such as those comprised of wearable devices, mobile phones, or autonomous vehicles, generate massive amounts of data each day.
• DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes
  14 Jun 2018 7 repositories listed
  And it also estimates a map of the static parts of the scene, which is a must for long-term applications in real-world environments.
• Counterfactual Multi-Agent Policy Gradients
  24 May 2017 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  COMA uses a centralised critic to estimate the Q-function and decentralised actors to optimise the agents' policies.
• Scalable Scene Flow from Point Clouds in the Real World
  1 Mar 2021 5 repositories listed
  In this work, we introduce a new large-scale dataset for scene flow estimation derived from corresponding tracked 3D objects, which is ∼1, 000× larger than previous real-world datasets in terms of the number of…
• LiDAR-Camera Calibration using 3D-3D Point correspondences
  27 May 2017 5 repositories listed
  With the advent of autonomous vehicles, LiDAR and cameras have become an indispensable combination of sensors.
• Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
  9 Apr 2019 4 repositories listed
  Therefore, a detection algorithm that can cope with mislocalizations is required in autonomous driving applications.
• Formal Security Analysis of Neural Networks using Symbolic Intervals
  28 Apr 2018 4 repositories listed Syntology ran 0 of 15 samples · 15 unverified
  In this paper, we present a new direction for formally checking security properties of DNNs without using SMT solvers.
• On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
  26 Mar 2018 4 repositories listed
  Despite the progress on monocular depth estimation in recent years, we show that the gap between monocular and stereo depth accuracy remains large$-$a particularly relevant result due to the prevalent reliance upon…
• Joint 3D Proposal Generation and Object Detection from View Aggregation
  6 Dec 2017 4 repositories listed
  We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios.
• TUMTraf V2X Cooperative Perception Dataset
  2 Mar 2024 3 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 1 pointer-only (licence)
  We propose CoopDet3D, a cooperative multi-modal fusion model, and TUMTraf-V2X, a perception dataset, for the cooperative 3D object detection and tracking task.
• trajdata: A Unified Interface to Multiple Human Trajectory Datasets
  26 Jul 2023 3 repositories listed
  The field of trajectory forecasting has grown significantly in recent years, partially owing to the release of numerous large-scale, real-world human trajectory datasets for autonomous vehicles (AVs) and pedestrian…
• TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
  7 Mar 2023 3 repositories listed
  We present TrafficBots, a multi-agent policy built upon motion prediction and end-to-end driving, and based on TrafficBots we obtain a world model tailored for the planning module of autonomous vehicles.
• Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer
  21 Nov 2022 3 repositories listed
  In this paper, we propose the concept of online video inpainting for autonomous vehicles to expand the field of view, thereby enhancing scene visibility, perception, and system safety.
• aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception
  17 Nov 2022 3 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  The dataset consists of 176 scenes with synchronized and calibrated LiDAR, camera, and radar sensors covering a 360-degree field of view.
• Deep Multi-agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic
  12 May 2021 3 repositories listed
  On-ramp merging is a challenging task for autonomous vehicles (AVs), especially in mixed traffic where AVs coexist with human-driven vehicles (HDVs).
• Multimodal Object Detection via Probabilistic Ensembling
  7 Apr 2021 3 repositories listed Syntology ran 8 of 11 samples · 3 unverified · 8 pointer-only (licence)
  Object detection with multimodal inputs can improve many safety-critical systems such as autonomous vehicles (AVs).
• SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning over Traffic Events
  29 Mar 2021 3 repositories listed Syntology ran 1 of 9 samples · 8 unverified · 2 pointer-only (licence)
  In this paper, we create a novel dataset, SUTD-TrafficQA (Traffic Question Answering), which takes the form of video QA based on the collected 10, 080 in-the-wild videos and annotated 62, 535 QA pairs, for benchmarking…
• ROAD: The ROad event Awareness Dataset for Autonomous Driving
  23 Feb 2021 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We also report the performance on the ROAD tasks of Slowfast and YOLOv5 detectors, as well as that of the winners of the ICCV2021 ROAD challenge, which highlight the challenges faced by situation awareness in autonomous…
• CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
  10 Nov 2020 3 repositories listed
  In this paper, we focus on the problem of radar and camera sensor fusion and propose a middle-fusion approach to exploit both radar and camera data for 3D object detection.
• Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection
  22 Oct 2020 3 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Modern lane detection methods have achieved remarkable performances in complex real-world scenarios, but many have issues maintaining real-time efficiency, which is important for autonomous vehicles.
• Accelerating 3D Deep Learning with PyTorch3D
  16 Jul 2020 3 repositories listed
  We address these challenges by introducing PyTorch3D, a library of modular, efficient, and differentiable operators for 3D deep learning.
• AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking Lot
  3 Jul 2020 3 repositories listed
  In this paper, we exploit robust semantic features to build the map and localize vehicles in parking lots.
• One Thousand and One Hours: Self-driving Motion Prediction Dataset
  25 Jun 2020 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Motivated by the impact of large-scale datasets on ML systems we present the largest self-driving dataset for motion prediction to date, containing over 1, 000 hours of data.
• Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
  27 Feb 2020 3 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans.
• Argoverse: 3D Tracking and Forecasting with Rich Maps
  6 Nov 2019 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In our baseline experiments, we illustrate how detailed map information such as lane direction, driveable area, and ground height improves the accuracy of 3D object tracking and motion forecasting.

Syntology lines on 16 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.