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 4551–4575 of 6092 papers

TitleStatusHype
Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data—0
Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach—0
Training Strategies for Vision Transformers for Object Detection—0
Trajectory Entropy: Modeling Game State Stability from Multimodality Trajectory Prediction—0
Trajectory Factory: Tracklet Cleaving and Re-connection by Deep Siamese Bi-GRU for Multiple Object Tracking—0
TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction—0
Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding—0
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions—0
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss—0
TrajFlow: Multi-modal Motion Prediction via Flow Matching—0
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving—0
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models—0
Traj-MAE: Masked Autoencoders for Trajectory Prediction—0
TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection—0
Transcending XAI Algorithm Boundaries through End-User-Inspired Design—0
TransDiffuser: End-to-end Trajectory Generation with Decorrelated Multi-modal Representation for Autonomous Driving—0
Transferability Estimation for Semantic Segmentation Task—0
Transferable Learned Image Compression-Resistant Adversarial Perturbations—0
Transfer Learning for Efficient Iterative Safety Validation—0
Transfer Learning Study of Motion Transformer-based Trajectory Predictions—0
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections—0
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene—0
Transformation-Equivariant 3D Object Detection for Autonomous Driving—0
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey—0
Transformers for Object Detection in Large Point Clouds—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