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 1111–1120 of 2605 papers

TitleStatusHype
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation—0
A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios—0
DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy—0
Directed-CP: Directed Collaborative Perception for Connected and Autonomous Vehicles via Proactive Attention—0
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation—0
Analyzing and Enhancing Queue Sampling for Energy-Efficient Remote Control of Bandits—0
Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles—0
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search—0
3D Object Positioning Using Differentiable Multimodal Learning—0
Digital Twins and Testbeds for Supporting AI Research with Autonomous Vehicle Networks—0
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Benchmark Results

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