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 1731–1740 of 2605 papers

TitleStatusHype
CROP: Certifying Robust Policies for Reinforcement Learning through Functional SmoothingCode0
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions—0
Temporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception—0
Deterministic Guided LiDAR Depth Map Completion—0
Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles—0
Experimental Analysis of Trajectory Control Using Computer Vision and Artificial Intelligence for Autonomous Vehicles—0
Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning—0
A Direct Slip Ratio Estimation Method based on an Intelligent Tire and Machine Learning—0
Taxonomy of Machine Learning Safety: A Survey and Primer—0
Don't Get Yourself into Trouble! Risk-aware Decision-Making for Autonomous Vehicles—0
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Benchmark Results

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