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 241–250 of 2605 papers

TitleStatusHype
AdvReal: Adversarial Patch Generation Framework with Application to Adversarial Safety Evaluation of Object Detection SystemsCode1
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under UncertaintyCode1
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' RiskinessCode1
Neural Network and ANFIS based auto-adaptive MPC for path tracking in autonomous vehiclesCode1
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic AccidentsCode1
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehiclesCode1
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object DetectionCode1
Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive EnvironmentsCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
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Benchmark Results

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