Results 11 to 20 of about 81,844 (303)
A qualitative focus groups study to identify how pedestrians perceive the arrival of fully autonomous vehicles [PDF]
Frontiers in PsychologyThis study explores pedestrian perceptions of fully autonomous vehicles and their acceptance. We organized two focus groups in which participants (7 for each) discussed, firstly, their own behavior when crossing the road in front of a human-driven ...
Lou Schwartz, Guillaume Gronier
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Impacts of autonomous vehicles on freeway with conditional isolated and dedicated lanes [PDF]
Scientific ReportsThe study investigates the impacts of isolated and dedicated lanes for autonomous vehicles on freeway traffic flow, focusing on mixed traffic scenarios where autonomous vehicles coexist with human-driven vehicles.
Qing Chang, Hong Chen
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Driving risk assessment and prevention strategies for autonomous vehicle in open-pits
Meitan xuebao, 2023 Driving risk assessment and protection is the critical technology of unmanned transportation systems in open-pits. In order to warrant the safe operation of unmanned vehicles in open-pits, the Driving Security Model (DSM) based on the vehicle-road-cloud ...
Zhifa CHEN +6 more
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Connected and Autonomous Vehicles [PDF]
IEEE Internet Computing, 2018 This special issue contains a selection of papers in the research area of connected and autonomous vehicles. The lineup includes discussions of vehicular named data networks and autonomous unmanned aerial vehicles (UAVs).
Bo Yu 0007, Fan Bai 0002, Falko Dressler
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Autonomous Vehicle Safety [PDF]
IEEE Communications Magazine, 2021 IoT/Smart City is a new paradigm and not merely a linear extension of the past Internet. It provides basic services as well as innovative services that can enrich human life. However, the security challenges will be huge due to the large number of deployed devices, open interfaces and possibilities of insider attacks.
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Information Distribution in Multi-Robot Systems: Utility-Based Evaluation Model
Sensors, 2020 This work addresses the problem of information distribution in multi-robot systems, with an emphasis on multi-UAV (unmanned aerial vehicle) applications.
Michał Barciś +2 more
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Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
Sensors, 2021 The use of neural networks and reinforcement learning has become increasingly popular in autonomous vehicle control. However, the opaqueness of the resulting control policies presents a significant barrier to deploying neural network-based control in ...
Sampo Kuutti +2 more
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IEEE Access, 2023 This study aims to generate test cases for scenario-based assessment of automated driving systems (ADS) when encounter a cut-out maneuver where the lead vehicle having changed lanes, revealing a new lead vehicle that, in some cases, is slower than the ...
H. Muslim +8 more
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Vegetation Cover Type Classification Using Cartographic Data for Prediction of Wildfire Behaviour
Fire, 2023 Predicting the behaviour of wildfires can help save lives and reduce health, socioeconomic, and environmental impacts. Because wildfire behaviour is highly dependent on fuel type and distribution, their accurate estimation is paramount for accurate ...
Mohammad Tavakol Sadrabadi +1 more
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Frontiers in Robotics and AI, 2022 The use of manipulators in space missions has become popular, as their applications can be extended to various space missions such as on-orbit servicing, assembly, and debris removal.
Mehran Raisi +2 more
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