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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1551–1560 of 2605 papers

TitleStatusHype
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehiclesCode1
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving—0
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions—0
Learning to integrate vision data into road network data—0
Fast and Robust Registration of Partially Overlapping Point CloudsCode1
Resilient Branching MPC for Multi-Vehicle Traffic Scenarios Using Adversarial Disturbance Sequences—0
Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Road and Traffic Scenarios—0
Formal Estimation of Collision Risks for Autonomous Vehicles: A Compositional Data-Driven Approach—0
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios—0
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic—0
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Benchmark Results

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