- We will send in 10–14 business days.
/images/books/13011242/9783036534879.jpg)
- Publisher: MDPI AG
- ISBN-10: 3036534873
- ISBN-13: 9783036534879
- Format: 17 x 24.4 x 2.4 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Advanced Sensing and Control for Connected and Automated Vehicles (e-book) (used book) | bookbook.eu
Reviews
Description
Connected and automated vehicles (CAVs) are a transformative technology that is expected to change and improve the safety and efficiency of mobility. As the main functional components of CAVs, advanced sensing technologies and control algorithms, which gather environmental information, process data, and control vehicle motion, are of great importance. The development of novel sensing technologies for CAVs has become a hotspot in recent years. Thanks to improved sensing technologies, CAVs are able to interpret sensory information to further detect obstacles, localize their positions, navigate themselves, and interact with other surrounding vehicles in the dynamic environment. Furthermore, leveraging computer vision and other sensing methods, in-cabin humans' body activities, facial emotions, and even mental states can also be recognized. Therefore, the aim of this Special Issue has been to gather contributions that illustrate the interest in the sensing and control of CAVs.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 10d.16:25:56
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: MDPI AG
- ISBN-10: 3036534873
- ISBN-13: 9783036534879
- Format: 17 x 24.4 x 2.4 cm, hardcover
- Language: English English
Connected and automated vehicles (CAVs) are a transformative technology that is expected to change and improve the safety and efficiency of mobility. As the main functional components of CAVs, advanced sensing technologies and control algorithms, which gather environmental information, process data, and control vehicle motion, are of great importance. The development of novel sensing technologies for CAVs has become a hotspot in recent years. Thanks to improved sensing technologies, CAVs are able to interpret sensory information to further detect obstacles, localize their positions, navigate themselves, and interact with other surrounding vehicles in the dynamic environment. Furthermore, leveraging computer vision and other sensing methods, in-cabin humans' body activities, facial emotions, and even mental states can also be recognized. Therefore, the aim of this Special Issue has been to gather contributions that illustrate the interest in the sensing and control of CAVs.
Reviews