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 1171–1180 of 2605 papers

TitleStatusHype
Human Action Anticipation: A Survey—0
Human-AI Interaction Design Standards—0
A Survey of FPGA-Based Robotic Computing—0
Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy—0
Human-Centered Human-AI Collaboration (HCHAC)—0
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction—0
High Precision Indoor Navigation for Autonomous Vehicles—0
Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities—0
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
High-Performance FPGA-based Accelerator for Bayesian Neural Networks—0
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Benchmark Results

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