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 110 of 2605 papers

TitleStatusHype
Pseudo-Simulation for Autonomous DrivingCode4
A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion PerspectiveCode4
Detectron2 Object Detection & Manipulating Images using CartoonizationCode4
TUMTraf V2X Cooperative Perception DatasetCode4
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous DrivingCode4
Building reliable sim driving agents by scaling self-playCode4
A Survey on Vision-Language-Action Models for Autonomous DrivingCode4
CarDreamer: Open-Source Learning Platform for World Model based Autonomous DrivingCode3
Accelerating 3D Deep Learning with PyTorch3DCode3
Explicit Interaction for Fusion-Based Place RecognitionCode3
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Benchmark Results

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