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 2441–2450 of 2605 papers

TitleStatusHype
The Responsibility Quantification (ResQu) Model of Human Interaction with Automation—0
A Framework for Probabilistic Generic Traffic Scene Prediction—0
3D Traffic Simulation for Autonomous Vehicles in Unity and PythonCode0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
Action and intention recognition of pedestrians in urban traffic—0
Compositional Verification for Autonomous Systems with Deep Learning Components—0
Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles—0
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems—0
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]Code0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
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Benchmark Results

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