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 1611–1620 of 2605 papers

TitleStatusHype
License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes—0
Adversarial Plannning—0
Using 3D Shadows to Detect Object Hiding Attacks on Autonomous Vehicle Perception—0
Learning Eco-Driving Strategies at Signalized Intersections—0
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles—0
4D-MultispectralNet: Multispectral Stereoscopic Disparity Estimation using Human Masks—0
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles—0
Learning Enriched Features for Fast Image Restoration and Enhancement—0
Integrated In-vehicle Monitoring System Using 3D Human Pose Estimation and Seat Belt Segmentation—0
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning—0
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Benchmark Results

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