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 1691–1700 of 2605 papers

TitleStatusHype
Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles—0
Grounding Linguistic Commands to Navigable RegionsCode0
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
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
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic—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
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Benchmark Results

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