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 13711380 of 6092 papers

TitleStatusHype
Deep Metric Learning for Open World Semantic SegmentationCode1
Deep Learning for Vision-based Prediction: A SurveyCode1
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative PerceptionCode1
Deep Federated Learning for Autonomous DrivingCode1
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and AggregationCode1
Panoptic SwiftNet: Pyramidal Fusion for Real-time Panoptic SegmentationCode1
Deep Learning for 3D Point Cloud Understanding: A SurveyCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
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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