Description
Advances in Intelligent Vehicles
Authors: Chen Yaobin, Li Lingxi
Language: English
Subjects for Advances in Intelligent Vehicles:
Keywords
Advanced Driver Assistance Systems (ADAS); Advanced Driving Assistance Systems (ADAS); auditory information; avoidance strategy; Collision avoidance; comparative analysis; Connected vehicles; cooperative; detection and tracking; discrete observations; Driver behavior; Driver-in-the-Loop (DIL); driving states; driving support; Environment perception; field tests; Field Theory; Hardware-in-the-Loop (HIL); Human factor; human factors; IDAS algorithm; IDAS simulation; IDAS structure; indoor testbeds; Intelligent Transportation Systems (ITS); Intelligent vehicles; Intersection Driver Assistance Systems (IDAS); lane boundary; Mobile-wheeled inverted pendulum; narrow vehicle; neural networks; noncooperative; risk engineering; risk management; road correlation; road factors; road region; robust control; safety culture; safety engineering; safety management; security engineering; simulation environments; sliding mode control; stability; staged scenarios; strategic control; time headway (THW); time to collision (TTC); traffic control; traffic flow modeling; traffic signal violation avoidance; traffic situation awareness; trajectory generation; trajectory tracking; underactuated system; vehicle factors; virtual sensors; visual information; warning signals
336 p. · 19x23.3 cm · Hardback
Description
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Advances in Intelligent Vehicles presents recent advances in intelligent vehicle technologies that enhance the safety, reliability, and performance of vehicles and vehicular networks and systems. This book provides readers with up-to-date research results and cutting-edge technologies in the area of intelligent vehicles and transportation systems. Topics covered include virtual and staged testing scenarios, collision avoidance, human factors, and modeling techniques.
The Series in Intelligent Systems publishes titles that cover state-of-the-art knowledge and the latest advances in research and development in intelligent systems. Its scope includes theoretical studies, design methods, and real-world implementations and applications.
1. Preface
2. Modeling and control of a New Narrow Vehicle
3. Testing of Intelligent Vehicles Using Virtual Environments and Staged Scenarios
4. Mathematical Modeling of Connected Vehicles
5. Guaranteed Collision Avoidance with Discrete Observations and Limited Actuation
6. The Effect of human Factors on Driver Behavior
7. Comparative Analysis and Modeling of Driver Behavior Characteristics
8. Human Factor and Its Handling
9. Robust Road Environment Perception for Navigation in Challenging Scenarios
10. V2I Based Multi-Objective Driver Assistance System for Intersection Support
11. Let Driver Know What is Going on in the Traffic
Engineers (in particular automation, control, mechatronics, robotics, transportation, automotive, aerospace), electronics and electronic design engineers, and computer scientists.
- Provides researchers and engineers with up-to-date research results and state-of-the art technologies in the area of intelligent vehicles and transportation systems
- Covers hot topics, including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; and V2V and V2I communications
