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 3101–3125 of 6092 papers

TitleStatusHype
ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision—0
Rolling Colors: Adversarial Laser Exploits against Traffic Light Recognition—0
Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems—0
Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
RopeBEV: A Multi-Camera Roadside Perception Network in Bird's-Eye-View—0
Rotationally Equivariant 3D Object Detection—0
RowDetr: End-to-End Row Detection Using Polynomials—0
RQR3D: Reparametrizing the regression targets for BEV-based 3D object detection—0
RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations—0
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection—0
RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking—0
RSRD: A Road Surface Reconstruction Dataset and Benchmark for Safe and Comfortable Autonomous Driving—0
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving—0
RGB-Thermal Infrared Fusion for Robust Depth Estimation in Complex Environments—0
RTI-NMPC for Control of Autonomous Vehicles Using Implicit Discretization Methods—0
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture—0
RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts—0
RV-FuseNet: Range View Based Fusion of Time-Series LiDAR Data for Joint 3D Object Detection and Motion Forecasting—0
Unified Spatio-Temporal Tri-Perspective View Representation for 3D Semantic Occupancy Prediction—0
S^3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving—0
S3Net: 3D LiDAR Sparse Semantic Segmentation Network—0
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation—0
S^3Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data—0
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data—0
Show:102550
← PrevPage 125 of 244Next →
All datasetsCARLA LeaderboardTown05 LongTown05 Short

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