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 2421–2430 of 2605 papers

TitleStatusHype
Survey of Bayesian Networks Applications to Intelligent Autonomous Vehicles—0
Effectiveness Assessment of Cyber-Physical Systems—0
Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset—0
Learning Generalizable Physical Dynamics of 3D Rigid Objects—0
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data—0
Closing the gap towards end-to-end autonomous vehicle system—0
Parallelized Interactive Machine Learning on Autonomous Vehicles—0
Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks—0
Conversational Intent Understanding for Passengers in Autonomous Vehicles—0
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles—0
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Benchmark Results

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