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 3301–3325 of 6092 papers

TitleStatusHype
Behaviorally Diverse Traffic Simulation via Reinforcement Learning—0
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction—0
Behavioural gap assessment of human-vehicle interaction in real and virtual reality-based scenarios in autonomous driving—0
Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model—0
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving—0
Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning—0
Benchmarking the Robustness of Semantic Segmentation Models—0
Benchmarking Vision Foundation Models for Input Monitoring in Autonomous Driving—0
BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement—0
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples—0
BEVCALIB: LiDAR-Camera Calibration via Geometry-Guided Bird's-Eye View Representations—0
BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving—0
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout—0
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion—0
BEVDetNet: Bird's Eye View LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving—0
BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance—0
BEVFusion4D: Learning LiDAR-Camera Fusion Under Bird's-Eye-View via Cross-Modality Guidance and Temporal Aggregation—0
BEV-Guided Multi-Modality Fusion for Driving Perception—0
BEVHeight++: Toward Robust Visual Centric 3D Object Detection—0
BEV-Locator: An End-to-end Visual Semantic Localization Network Using Multi-View Images—0
BEV-MODNet: Monocular Camera based Bird's Eye View Moving Object Detection for Autonomous Driving—0
BEVPose: Unveiling Scene Semantics through Pose-Guided Multi-Modal BEV Alignment—0
BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks—0
BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs—0
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems—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