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 2411–2420 of 2605 papers

TitleStatusHype
Sparse and noisy LiDAR completion with RGB guidance and uncertaintyCode0
Vulnerable road user detection: state-of-the-art and open challenges—0
Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial ExamplesCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Adaptive Stress Testing for Autonomous Vehicles—0
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded CampusCode0
A Real-Time Optimal Eco-driving for Autonomous Vehicles Crossing Multiple Signalized Intersections—0
Autonomous Cars: Vision based Steering Wheel Angle Estimation—0
RED-Attack: Resource Efficient Decision based Attack for Machine LearningCode0
When is it right and good for an intelligent autonomous vehicle to take over control (and hand it back)?—0
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Benchmark Results

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