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 40714080 of 6092 papers

TitleStatusHype
Improving Lidar-Based Semantic Segmentation of Top-View Grid Maps by Learning Features in Complementary Representations0
Vision-based Large-scale 3D Semantic Mapping for Autonomous Driving Applications0
A Unified Query-based Paradigm for Point Cloud UnderstandingCode1
MMFN: Multi-Modal Fusion Net for End-to-End Autonomous DrivingCode1
Adversarial samples for deep monocular 6D object pose estimationCode0
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey0
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data0
"If you could see me through my eyes": Predicting Pedestrian Perception0
Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A SurveyCode2
FedDrive: Generalizing Federated Learning to Semantic Segmentation in 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