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 1421–1430 of 2605 papers

TitleStatusHype
Efficient textual explanations for complex road and traffic scenarios based on semantic segmentation—0
The risk ethics of autonomous vehicles: a continuous trolley problem in regular road traffic—0
Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning—0
VPAIR -- Aerial Visual Place Recognition and Localization in Large-scale Outdoor EnvironmentsCode1
E-Scooter Rider Detection and Classification in Dense Urban EnvironmentsCode0
Deep Reinforcement Learning for Time Allocation and Directional Transmission in Joint Radar-CommunicationCode1
Emergent Visual Sensors for Autonomous Vehicles—0
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
A rigorous multi-population multi-lane hybrid traffic model and its mean-field limit for dissipation of waves via autonomous vehicles—0
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Benchmark Results

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