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 201–225 of 6092 papers

TitleStatusHype
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane PriorsCode2
Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
End-to-End Vectorized HD-map Construction with Piecewise Bezier CurveCode2
GPT-Driver: Learning to Drive with GPTCode2
Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and BenchmarkCode2
GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian SplattingCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?Code2
Hidden Biases of End-to-End Driving ModelsCode2
HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single DecoderCode2
Autonomous Driving with Spiking Neural NetworksCode2
ADAPT: Action-aware Driving Caption TransformerCode2
Fast-BEV: Towards Real-time On-vehicle Bird's-Eye View PerceptionCode2
Asynchronous Large Language Model Enhanced Planner for Autonomous DrivingCode2
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy NetworkCode2
3D Object Detection for Autonomous Driving: A Comprehensive SurveyCode2
A Cognitive-Based Trajectory Prediction Approach for Autonomous DrivingCode2
I^2-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene ForecastingCode2
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving DataCode2
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
Investigating the Role of Image Retrieval for Visual Localization -- An exhaustive benchmarkCode2
iPad: Iterative Proposal-centric End-to-End Autonomous DrivingCode2
Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future ProspectsCode2
Chameleon: Fast-slow Neuro-symbolic Lane Topology ExtractionCode2
A Survey on Multimodal Large Language Models for Autonomous DrivingCode2
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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