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 27412750 of 6092 papers

TitleStatusHype
Sensor Fusion by Spatial Encoding for Autonomous Driving0
Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment0
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping0
CASPNet++: Joint Multi-Agent Motion Prediction0
ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving0
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View RepresentationCode2
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack0
A Review of Adversarial Attacks in Computer Vision0
Exploiting Sparsity in Automotive Radar Object Detection Networks0
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
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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