SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Showing 321330 of 2605 papers

TitleStatusHype
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research ChallengesCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change DetectionCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Scalable Scene Flow from Point Clouds in the Real WorldCode1
ROAD: The ROad event Awareness Dataset for Autonomous DrivingCode1
Robust Lane Detection via Expanded Self AttentionCode1
Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver IdentificationCode1
Object Tracking by Detection with Visual and Motion CuesCode1
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road ScenesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85Unverified
2GSNetA3DP20.21Unverified