Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Download or Read eBook Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) PDF written by John Ball and published by MDPI. This book was released on 2019-10-01 with total page 342 pages. Available in PDF, EPUB and Kindle.
| Author | : John Ball |
| Publisher | : MDPI |
| Total Pages | : 342 |
| Release | : 2019-10-01 |
| ISBN-10 | : 9783039213757 |
| ISBN-13 | : 303921375X |
| Rating | : 4/5 (57 Downloads) |
Book Synopsis Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) by : John Ball
Book excerpt: This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.
