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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1951–1975 of 6092 papers

TitleStatusHype
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
A Multi-Stage Clustering Framework for Automotive Radar Data—0
DORec: Decomposed Object Reconstruction and Segmentation Utilizing 2D Self-Supervised Features—0
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model—0
Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception—0
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving—0
Enhancing Vehicle Make and Model Recognition with 3D Attention Modules—0
Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding—0
4C: A Computation, Communication, and Control Co-Design Framework for CAVs—0
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving—0
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction—0
EO-VLM: VLM-Guided Energy Overload Attacks on Vision Models—0
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning—0
Episodic Reinforcement Learning with Expanded State-reward Space—0
Federated Transfer Reinforcement Learning for Autonomous Driving—0
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation—0
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes—0
Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals—0
Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis—0
DONEX: Real-time occupancy grid based dynamic echo classification for 3D point cloud—0
ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios—0
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios—0
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion—0
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Benchmark Results

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