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 4551–4600 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
Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories—0
Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving—0
Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction—0
TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers—0
Transparency Distortion Robustness for SOTA Image Segmentation Tasks—0
TransParking: A Dual-Decoder Transformer Framework with Soft Localization for End-to-End Automatic Parking—0
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection—0
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception—0
TransVPR: Transformer-based place recognition with multi-level attention aggregation—0
t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving—0
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition—0
Tri-Perspective View Decomposition for Geometry-Aware Depth Completion—0
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM—0
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild—0
Trustworthy Federated Learning via Blockchain—0
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System—0
TS40K: a 3D Point Cloud Dataset of Rural Terrain and Electrical Transmission System—0
TS-MPC for Autonomous Vehicle using a Learning Approach—0
TS-VLM: Text-Guided SoftSort Pooling for Vision-Language Models in Multi-View Driving Reasoning—0
Tuning the feedback controller gains is a simple way to improve autonomous driving performance—0
Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance—0
UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth Completion—0
S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking—0
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation—0
UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving—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