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 1271–1280 of 2605 papers

TitleStatusHype
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
A Brief Survey on Autonomous Vehicle Possible Attacks, Exploits and Vulnerabilities—0
Cross-cultural analysis of pedestrian group behaviour influence on crossing decisions in interactions with autonomous vehicles—0
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks—0
Data-driven Traffic Simulation: A Comprehensive Review—0
Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios—0
A Direct Slip Ratio Estimation Method based on an Intelligent Tire and Machine Learning—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges—0
Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic—0
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Benchmark Results

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