Research on The Architecture of Vehicle Front Collision Warning Function Shanghai Normal University Tianhua College, AI School

Format:

Book

Conference/Event

Author/Creator:

Shao, Youlin, author.

Contributor:

Cheng, Zhiqing

Li, Xiaoqing

Shi, Ling

Zhao, Guochu

Conference Name:

2025 5th International Conference on Smart City Engineering and Public Transportation (SCEPT2025) (2025-03-28 : Beijing, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

The rapid development of the automobile industry has put forward higher requirements for safe travel, especially in today's vigorous development of new energy vehicle technology, faster driving speed and more intelligent vehicle configuration, which makes the automobile safety technology become a key research direction. If you can judge the current driving state of the vehicle and provide early warning information to the driver, the occurrence of traffic accidents can be avoided to a large extent. However, in the current field of vehicle safety technology, vehicle collision warning systems are rarely involved. Therefore, this paper proposes a system functional architecture for vehicle front collision warning, which can provide the driver with collision warning according to the current state of the vehicle. If the driver fails to take effective actions within a specified time, the vehicle will automatically brake. This function can effectively avoid the occurrence of traffic accidents

Notes:

Vendor supplied data

Publisher Number:

2025-99-0061

Access Restriction:

Restricted for use by site license