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An Approach to Modeling and Developing Virtual Sensors Used in the Simulation of Autonomous Vehicles. [PDF]

Sensors (Basel)
Barabás I, Iclodean C, Beles H, Antonya C, Molea A, Scurt FB.   +5 more
europepmc   +1 more source

Decentralized graph attention multi-agent reinforcement learning for adaptive urban traffic routing. [PDF]

Sci Rep
Mahmoud M, Meshoul S, Batouche M, Hammad M.   +3 more
europepmc   +1 more source

Simulation assessment of autonomous electric vehicles on urban sustainability in Riyadh City. [PDF]

Sci Rep
Louati A, Louati H, Kariri E.
europepmc   +1 more source

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On-Road Vehicle Detection and Tracking Using MMW Radar and Monovision Fusion

IEEE Transactions on Intelligent Transportation Systems, 2016
With the potential to increase road safety and provide economic benefits, intelligent vehicles have elicited a significant amount of interest from both academics and industry. A robust and reliable vehicle detection and tracking system is one of the key modules for intelligent vehicles to perceive the surrounding environment.
Fei-Yue Wang, Linhai Xu, Hongbin Sun
exaly   +2 more sources

On-road vehicle detection fusing radar and vision

Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, 2011
This paper presents a cross-verification approach to fuse radar and vision data for vehicle detection. Firstly, a realtime vision approach using specific shadow segmentation is used to detect vehicles in whole image independently. The fusion approach contains two steps: matching and validation. The targets respectively from radar and vision verify each
Zhenping Sun, Hangen He
exaly   +2 more sources

Structural Road Detection for Intelligent Vehicle Based on a 2d Laser Radar

2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2012
Road detection is a key task in developing an intelligent vehicle. Typical methods using machine vision suffer from being easy to be influences by outer conditions, so here we designed a new method to detect roads by a laser radar. Considering the intelligent vehicle may face much trouble in unsmoothed road, in road with anomalous edges or running ...
Peng Jia, Hongquan Liu
exaly   +2 more sources

Road-Shape Recognition Using On-Vehicle Millimeter-wave Radar

Intelligent Vehicles Symposium, 2009 IEEE, 2007
In this paper, we present a method for estimating road shape using on-vehicle millimeter-wave radar. The radar detects not only the backscatter from vehicles but also from stationary objects such as crash barriers and sound barrier walls that are generally installed along roads.
Yasuyuki Miyake, Kazuma Natsume, Koichi Hoshino   +2 more
exaly   +2 more sources