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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 971–980 of 2605 papers

TitleStatusHype
FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network—0
Estimating Pedestrian Moving State Based on Single 2D Body Pose—0
Fast-Image2Point: Towards Real-Time Point Cloud Reconstruction of a Single Image using 3D Supervision—0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities—0
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning—0
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities—0
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images—0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds—0
Automated design of error-resilient and hardware-efficient deep neural networks—0
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Benchmark Results

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