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 771–780 of 2605 papers

TitleStatusHype
Driver Gaze Zone Estimation using Convolutional Neural Networks: A General Framework and Ablative Analysis—0
Benchmark for Models Predicting Human Behavior in Gap Acceptance Scenarios—0
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory—0
Drivers' Manoeuvre Modelling and Prediction for Safe HRI—0
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection—0
Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach—0
Driving Everywhere with Large Language Model Policy Adaptation—0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—0
Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning—0
Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads—0
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Benchmark Results

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