Results 271 to 280 of about 419,064 (300)

Terrain mobility performance optimization: Fundamentals for autonomous vehicle applications. Part I. New mobility indices: Optimization and analysis

Journal of Terramechanics, 2022
Jesse Paldan
exaly  

Improve mobile intelligent sightseeing vehicles through A and mobile technology.

Science and Technology of Engineering, Chemistry and Environmental Protection
As a newly emerging tourist transportation tool in recent years, intelligent sightseeing vehicles adopt advanced automatic driving technology and energy-saving electric drive technology. However, there is still much room for improvement, so the research theme of this paper is the combination of mobile intelligent sightseeing vehicles and AR technology.
openaire   +1 more source

DeepVM: RNN-Based Vehicle Mobility Prediction to Support Intelligent Vehicle Applications

IEEE Transactions on Industrial Informatics, 2020
Wei Liu, Yozo Shoji
exaly  

Terrain mobility performance optimization: Fundamentals for autonomous vehicle applications Part II. Computational simulation, implementation for mobility design, and validation

Journal of Terramechanics, 2022
Vladimir V Vantsevich
exaly  

Discovering vehicle usage patterns on the basis of daily mobility profiles derived from floating car data

Transportation Letters, 2021
Danyang Sun, Xiaoyan Xie
exaly  

Analysis of Relationship between Road Geometry and Automated Driving Safety for Automated Vehicle-Based Mobility Service

Sustainability, 2022
Sehyun Tak, Hwapyeong Yu, Donghoun Lee
exaly  

Mobile Electric Vehicles

2016
Miao Wang, Ran Zhang, Xuemin Shen
openaire   +1 more source

Autonomous Vehicles and Future Mobility

2019
With the development of sustainable mobility options, intelligent transport systems and autonomous vehicles new solutions are being realized, however the changes that they cause in travel behavior and long term transport policy are not entirely addressed.
COPPOLA P, Esztergár-Kiss D
openaire   +2 more sources

An intelligent navigator for mobile vehicles

2007
This paper presents an intelligent navigation method for navigation of a mobile vehicle in unknown environments. The proposed navigator consists of three modules: Obstacle Avoidor, Environment Evaluator and Navigation Supervisor. The Obstacle Avoidor is a fuzzy controller whose rule base is learnt through reinforcement learning.
Yung, NHC, Ye, C
openaire   +1 more source

Mobility vehicles on offer

Elderly Care, 1988
openaire   +1 more source