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 551575 of 6092 papers

TitleStatusHype
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban ScenesCode1
Curricular Subgoals for Inverse Reinforcement LearningCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist WorkflowCode1
A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency LossesCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road SceneCode1
GANet: Goal Area Network for Motion ForecastingCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Instance Semantic Segmentation Benefits from Generative Adversarial NetworksCode1
Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous DrivingCode1
DenseTNT: End-to-end Trajectory Prediction from Dense Goal SetsCode1
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous DrivingCode1
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR SegmentationCode1
3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous DrivingCode1
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy PredictionCode1
Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object DetectionCode1
COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked VehiclesCode1
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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