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 726750 of 6092 papers

TitleStatusHype
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous DrivingCode1
DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-DrivingCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
3D Object Detection from Images for Autonomous Driving: A SurveyCode1
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation MapsCode1
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge DistillationCode1
Distributional Pareto-Optimal Multi-Objective Reinforcement LearningCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable SimulationCode1
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
Cross-modal Learning for Domain Adaptation in 3D Semantic SegmentationCode1
Domain Adaptation In Reinforcement Learning Via Latent Unified State RepresentationCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Domain Adaptive Object Detection for Autonomous Driving under Foggy WeatherCode1
AutoShape: Real-Time Shape-Aware Monocular 3D Object DetectionCode1
IGDrivSim: A Benchmark for the Imitation Gap in Autonomous DrivingCode1
CRN: Camera Radar Net for Accurate, Robust, Efficient 3D PerceptionCode1
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road SceneCode1
3D-AVS: LiDAR-based 3D Auto-Vocabulary SegmentationCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
Lane Change Classification and Prediction with Action Recognition NetworksCode1
A Two-Stage Masked Autoencoder Based Network for Indoor Depth CompletionCode1
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic SegmentationCode1
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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