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

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Showing 261–270 of 2605 papers

TitleStatusHype
On Adversarial Robustness of Trajectory Prediction for Autonomous VehiclesCode1
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry ConstraintsCode1
Intersection focused Situation Coverage-based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLACode1
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehiclesCode1
Fast and Robust Registration of Partially Overlapping Point CloudsCode1
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensityCode1
Monitoring and Adapting the Physical State of a Camera for Autonomous VehiclesCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless NetworksCode1
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Benchmark Results

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