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 351375 of 6092 papers

TitleStatusHype
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object DetectionCode2
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative PerceptionCode2
HumanBench: Towards General Human-centric Perception with Projector Assisted PretrainingCode2
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy PerceptionCode2
MixVPR: Feature Mixing for Visual Place RecognitionCode2
OccDepth: A Depth-Aware Method for 3D Semantic Scene CompletionCode2
Pillar R-CNN for Point Cloud 3D Object DetectionCode2
ConceptFusion: Open-set Multimodal 3D MappingCode2
ADAPT: Action-aware Driving Caption TransformerCode2
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View PerceptionCode2
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsCode2
Query-Centric Trajectory PredictionCode2
FocalFormer3D: Focusing on Hard Instance for 3D Object DetectionCode2
SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance FieldsCode2
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map GenerationCode2
MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D PerceptionCode2
Model-Based Imitation Learning for Urban DrivingCode2
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk MinimizationCode2
A real-time dynamic obstacle tracking and mapping system for UAV navigation and collision avoidance with an RGB-D cameraCode2
YOLOPv2: Better, Faster, Stronger for Panoptic Driving PerceptionCode2
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion TransformerCode2
Fully Sparse 3D Object DetectionCode2
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature LearningCode2
Wayformer: Motion Forecasting via Simple & Efficient Attention NetworksCode2
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point CloudsCode2
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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