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 226–250 of 6092 papers

TitleStatusHype
BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-ViewCode2
CaRL: Learning Scalable Planning Policies with Simple RewardsCode2
Enhancing Vectorized Map Perception with Historical Rasterized MapsCode2
3D Object Detection for Autonomous Driving: A Comprehensive SurveyCode2
LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting NetworkCode2
A Cognitive-Based Trajectory Prediction Approach for Autonomous DrivingCode2
LightLoc: Learning Outdoor LiDAR Localization at Light SpeedCode2
LimSim: A Long-term Interactive Multi-scenario Traffic SimulatorCode2
LingoQA: Visual Question Answering for Autonomous DrivingCode2
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language ModelsCode2
End-to-End Vectorized HD-map Construction with Piecewise Bezier CurveCode2
Benchmarking the Robustness of LiDAR Semantic Segmentation ModelsCode2
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous DrivingCode2
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous DrivingCode2
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane PriorsCode2
Exploring the Causality of End-to-End Autonomous DrivingCode2
Fully Sparse 3D Object DetectionCode2
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object DetectionCode2
GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised MatchingCode2
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation LearningCode2
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel TransformerCode2
BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object DetectionCode2
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic SegmentationCode2
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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