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 326350 of 6092 papers

TitleStatusHype
RoMe: Towards Large Scale Road Surface Reconstruction via Mesh RepresentationCode2
QCNeXt: A Next-Generation Framework For Joint Multi-Agent Trajectory PredictionCode2
MachMap: End-to-End Vectorized Solution for Compact HD-Map ConstructionCode2
End-to-End Vectorized HD-map Construction with Piecewise Bezier CurveCode2
The 1st-place Solution for CVPR 2023 OpenLane Topology in Autonomous Driving ChallengeCode2
Datasets and Benchmarks for Offline Safe Reinforcement LearningCode2
Hidden Biases of End-to-End Driving ModelsCode2
StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street ViewsCode2
UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous DrivingCode2
NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving ScenarioCode2
DetGPT: Detect What You Need via ReasoningCode2
VDT: General-purpose Video Diffusion Transformers via Mask ModelingCode2
Rethinking the Open-Loop Evaluation of End-to-End Autonomous Driving in nuScenesCode2
CLRerNet: Improving Confidence of Lane Detection with LaneIoUCode2
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous DrivingCode2
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous DrivingCode2
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive ReviewCode2
Transformer-Based Visual Segmentation: A SurveyCode2
VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving SceneCode2
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy PredictionCode2
Graph-based Topology Reasoning for Driving ScenesCode2
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth EstimationCode2
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
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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