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 351–360 of 2605 papers

TitleStatusHype
Robust Behavioral Cloning for Autonomous Vehicles using End-to-End Imitation LearningCode1
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous VehiclesCode1
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicCode1
What-If Motion Prediction for Autonomous DrivingCode1
ISSAFE: Improving Semantic Segmentation in Accidents by Fusing Event-based DataCode1
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded PlatformCode1
Traffic Control Gesture Recognition for Autonomous VehiclesCode1
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware SupervisionCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
Understanding Object Detection Through An Adversarial LensCode1
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Benchmark Results

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