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 921–930 of 2605 papers

TitleStatusHype
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems—0
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale—0
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles—0
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning—0
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation—0
Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles—0
Experimental comparison of graph-based approximate nearest neighbor search algorithms on edge devices—0
Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving—0
Experimental Validation of Sensor Fusion-based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles—0
Blending Data-Driven Priors in Dynamic Games—0
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Benchmark Results

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