SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

Showing 19512000 of 6092 papers

TitleStatusHype
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving0
FFINet: Future Feedback Interaction Network for Motion Forecasting0
A Multi-Stage Clustering Framework for Automotive Radar Data0
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model0
DORec: Decomposed Object Reconstruction and Segmentation Utilizing 2D Self-Supervised Features0
Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception0
Enhancing Vehicle Make and Model Recognition with 3D Attention Modules0
Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding0
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving0
4C: A Computation, Communication, and Control Co-Design Framework for CAVs0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction0
EO-VLM: VLM-Guided Energy Overload Attacks on Vision Models0
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning0
Episodic Reinforcement Learning with Expanded State-reward Space0
Tracklets Predicting Based Adaptive Graph Tracking0
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation0
FGU3R: Fine-Grained Fusion via Unified 3D Representation for Multimodal 3D Object Detection0
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes0
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects0
ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals0
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving0
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios0
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios0
DONEX: Real-time occupancy grid based dynamic echo classification for 3D point cloud0
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion0
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images0
DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model0
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction0
CASPNet++: Joint Multi-Agent Motion Prediction0
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems0
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks0
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout0
Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain0
Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey0
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation0
Causal Composition Diffusion Model for Closed-loop Traffic Generation0
Evaluating the Adversarial Robustness of Detection Transformers0
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset0
Causal Deep Reinforcement Learning Using Observational Data0
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving0
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving0
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains0
A Multi-model Approach for Video Data Retrieval in Autonomous Vehicle Development0
Evaluating Uncertainty Quantification in End-to-End Autonomous Driving Control0
Causality-Driven Reinforcement Learning for Joint Communication and Sensing0
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions0
Evaluation of Large Language Models for Decision Making in Autonomous Driving0
A Comparative Study on Multi-task Uncertainty Quantification in Semantic Segmentation and Monocular Depth Estimation0
BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified