Intelligent Vehicles Enabling Technologies and Future Developments
Coordonnateur : Jimenez Felipe
Intelligent Road Vehicles examines specific aspects of intelligent vehicles such as enabling technologies, human factors and an analysis of social and economic impacts. The book is an invaluable resource for those pursuing deeper knowledge in the intelligent vehicles field, providing readers with an idea of current and future technologies, current projects and developments and the future of intelligent vehicles.
Intelligent road vehicles are becoming a challenging area of research worldwide. Apart from the final applications and systems in vehicles, there are many enabling technologies that should be introduced. Communications and automation are two key areas for future automobiles. This book benefits from collaboration on theThematic Network on Intelligent Vehicles led by Felipe Jimenez.
1. Introduction
Part A: Enabling technologies 2. Environmental Perception for Intelligent Vehicles 3. Vehicular communications 4. Positioning and digital maps 5. Big data in road transportation and mobility research
Part B: Application 6. Assistance and safety systems 7. Cooperative systems 8. Autonomous driving
Part C: Additional aspects 9. Human factor 10. Simulation tools 11. Social and economic impacts of intelligent vehicles 12. Future perspectives and work areas
Researchers, MsC and PhD students
Currently, he is Full Professor at the UPM and Research Deputy Director and Head of the Intelligent Systems Unit of the University Institute for Automobile Research of the UPM. His fields of interest are the automotive industry, vehicle safety, mechanical design, driver assistance systems and intelligent transport systems, mainly connected and automated driving. He has been involved in more than 40 R&D projects in the last 10 years and has developed engineering studies for relevant national firms. Furthermore, he is the leader of the Spanish Thematic Network on Intelligent Vehicles.
- Provides a general overview of different aspects related to intelligent road vehicles (sensors, applications, communications, automation, human factors, etc.)
- Addresses the different components and building blocks of intelligent vehicles in a single, comprehensive reference
- Explains how sensors are interpreted, including how different sensor readings are fused
- Addresses issues involved with avoiding collisions and other factors such as pot holes, unclear road lines or markings, and unexpected weather conditions
Date de parution : 09-2017
Ouvrage de 504 p.
15x22.8 cm
Thème d’Intelligent Vehicles :
Mots-clés :
Access layer; Advanced driver assistance systems; Applications; Automated driving; Automated vehicle; Automation levels; Autonomous vehicles; Bigdata; Communications; Computer vision; Cooperative driving; Cooperative system; Cooperative vehicles; Costs; DSRC; Data; Data fusion; Dead-reckoning; Decision making; Digital map; Diver monitoring; Driver assistance systems; Driver model; Driver-machine interaction; Driving simulator; Drowsiness; Efficiency; FCD; Future; GNSS; HMI; Hardware; Information; Intelligent transport systems; Intelligent vehicles; Interface; Laser techniques; Legal framework; Machine learning; Macroscopic simulation; Map-matching; Microscopic simulation; Mobile communications; Mobile data; Monitoring; Motion planning; Navigation; Network layer; Positioning; Primary safety; Privacy; Processing architectures; Regulatory barriers for automated driving; Research lines; Secondary safety; Security; Sensors; Situation awareness; Software; Standardization; Telematics; Tertiary safety; Tiredness; Traffic monitoring systems; Traffic simulation; Training data; Trends; V2I; V2V; Validation; Vehicle control; Vehicular communications; Verification & Virtual data; Visual odometry; Wireless technologies
