Torrent details for "Huang Y., Yang Z. Autonomous Driving Handbook 2026" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
12.4 MB
Info Hash:
1BE74FC60F8D83E292A757807EDE9505E9138752
Added By:
Added:
April 19, 2026, 12:12 p.m.
Stats:
|
(Last updated: April 19, 2026, 2:27 p.m.)
| File | Size |
|---|---|
| Huang Y., Yang Z. Autonomous Driving Handbook 2026.pdf | 12.4 MB |
Name
DL
Uploader
Size
S/L
Added
-
27.0 MB
[42
/
24]
2024-01-28
| Uploaded by indexFroggy | Size 27.0 MB | Health [ 42 /24 ] | Added 2024-01-28 |
-
12.4 MB
[104
/
23]
2026-04-19
| Uploaded by andryold1 | Size 12.4 MB | Health [ 104 /23 ] | Added 2026-04-19 |
-
65.5 MB
[21
/
45]
2026-04-20
| Uploaded by andryold1 | Size 65.5 MB | Health [ 21 /45 ] | Added 2026-04-20 |
NOTE
SOURCE: Huang Y., Yang Z. Autonomous Driving Handbook 2026
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format As the development of autonomous driving is in its infancy, more and more companies, engineers, scientists, and students are entering or planning to enter this field. As a practitioner who has been deeply involved in computer software, computer vision, and machine learning for decades and has entered the front line of research and development in this emerging technology field, we want to systematically introduce the cutting-edge technical theories of autonomous driving to the newcomers. Since autonomous driving contains too much content, with limited pages, the focus of this book is on the introduction of cutting-edge technologies, especially the tracking of some current hot spots in autonomous driving, such as sensor fusion for perception, maps and localization, driving behavior learning and prediction, end-to-end planning and control, BEV and occupancy perception, neural rendering and Gaussian splatting, large scale models and AI agent-based autonomous driving technology
×