Results 11 to 20 of about 32,627 (261)

The Acceptance of Independent Autonomous Vehicles and Cooperative Vehicle-Highway Autonomous Vehicles [PDF]

open access: yesInformation, 2021
The public’s acceptance of independent autonomous vehicles and cooperative vehicle-highway autonomous vehicles is studied by combining the structural equation model and an artificial neural network. The structural equation model’s output variables are used as the input variables of the artificial neural network, which compensates for the linear problem
Shuang Zhang, Peng Jing, Gang Xu
openaire   +2 more sources

The attachments of ‘autonomous’ vehicles [PDF]

open access: yesSocial Studies of Science, 2021
The ideal of the self-driving car replaces an error-prone human with an infallible, artificially intelligent driver. This narrative of autonomy promises liberation from the downsides of automobility, even if that means taking control away from autonomous, free-moving individuals.
Chris Tennant, Jack Stilgoe
openaire   +3 more sources

Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing

open access: yesIEEE Open Journal of Intelligent Transportation Systems, 2022
ISSN:2687 ...
Johannes Betz   +7 more
openaire   +5 more sources

Cut-Out Scenario Generation With Reasonability Foreseeable Parameter Range From Real Highway Dataset for Autonomous Vehicle Assessment

open access: yesIEEE 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
doaj   +1 more source

AUTONOMOUS VEHICLE

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: Self-driving cars are a rapidly advancing technology that is poised to revolutionize the way people travel. The purpose of the self-driving car project is to create a vehicle that can operate autonomously, without the need for a human driver.
KURANUKI YOSHIKI, FUJII HOKUTO
openaire   +4 more sources

Vegetation Cover Type Classification Using Cartographic Data for Prediction of Wildfire Behaviour

open access: yesFire, 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
doaj   +1 more source

A fault-tolerant and robust controller using model predictive path integral control for free-flying space robots

open access: yesFrontiers 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
doaj   +1 more source

Artificial Intelligence for Vehicle Behavior Anticipation: Hybrid Approach Based on Maneuver Classification and Trajectory Prediction

open access: yesIEEE Access, 2020
Innovative technologies and naturalistic driving data sources provide a great potential to develop reliable autonomous driving systems. Understanding the behaviors of surrounding vehicles is essential for improving safety and mobility of autonomous ...
Abdelmoudjib Benterki   +3 more
doaj   +1 more source

Probabilistic Meta-Conv1D Driving Energy Prediction for Mobile Robots in Unstructured Terrains

open access: yesIEEE Access, 2022
Driving energy consumption plays an important role in the navigation of autonomous mobile robots in off-road scenarios. However, the accuracy of the driving energy predictions is often affected by a high degree of uncertainty due to unknown and ...
Marco Visca   +3 more
doaj   +1 more source

Deep Meta-Learning Energy-Aware Path Planner for Unmanned Ground Vehicles in Unknown Terrains

open access: yesIEEE Access, 2022
This paper presents an adaptive energy-aware prediction and planning framework for vehicles navigating over terrains with varying and unknown properties.
Marco Visca   +3 more
doaj   +1 more source

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