| bibtype |
B -
Monography
|
| ARLID |
0565239 |
| utime |
20240103231026.7 |
| mtime |
20221209235959.9 |
| ISBN |
978-99949-8-398-8 |
| title
(primary) (eng) |
Vehicle systems from an Artificial Intelligence perspective: Testing & Use Cases |
| publisher |
| place |
Chișinău |
| name |
ELIVA PRESS |
| pub_time |
2022 |
|
| specification |
| page_count |
117 s. |
| media_type |
P |
|
| keyword |
vehicle systems |
| keyword |
control systems |
| keyword |
human-machine interface |
| author
(primary) |
| ARLID |
cav_un_auth*0286338 |
| name1 |
Plíhal |
| name2 |
Jiří |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování signálů |
| full_dept (eng) |
Department of Signal Processing |
| department (cz) |
ZS |
| department (eng) |
ZS |
| country |
CZ |
| share |
25 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0230217 |
| name1 |
Nedoma |
| name2 |
P. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0277031 |
| name1 |
Herda |
| name2 |
Z. |
| country |
CZ |
|
| author
|
| ARLID |
cav_un_auth*0428863 |
| name1 |
Aksjonov |
| name2 |
A. |
| country |
FI |
|
| source |
|
| cas_special |
| project |
| project_id |
6002 |
| agency |
Škoda Auto a.s. |
| country |
CZ |
| ARLID |
cav_un_auth*0286544 |
|
| abstract
(eng) |
Nowadays, ADAS such as ACC are state-of-the-art. Once activated by the driver, these systems support the driver in specific driving situations and control either the longitudinal or Iateral movement of the vehicle. Should the system become unstable, the driver is required to step in immediately and retake control of the vehicle. AV systerns allow the driver to relinquish active control over the vehicle for a certain period. These systems control the vehicle's longitudinal and lateral movement simultaneously. The degree of automating a driving function ranges from partial automation and pennanent supervision by the driver to full automation without any driver supervision. For automated vehicles, real-time V2V cornmunication and V2I cornmunication are mandatory for improving traffic infonnation for each traffic participant. As advancements are made in automated and connected driving, new requirements to ensure safe systems arise conceming the accuracy ofthe digital representations oftheir environment at any given time, under all weather conditions and in any traffic situation. |
| RIV |
JA |
| FORD0 |
20000 |
| FORD1 |
20200 |
| FORD2 |
20205 |
| reportyear |
2023 |
| num_of_auth |
4 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0337908 |
| confidential |
S |
| arlyear |
2022 |
| mrcbU10 |
2022 |
| mrcbU10 |
Chișinău ELIVA PRESS |
| mrcbU12 |
978-99949-8-398-8 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
|