1 option
Obstacle State Estimation For Imminent Crash Prediction & Countermeasure Deployment Decision-Making Scientific Research Laboratory, Ford Motor Company
- Format:
- Book
- Conference/Event
- Author/Creator:
- Prakah-Asante, Kwaku O., author.
- Conference Name:
- Future Transportation Technology Conference and Exposition (2003-06-23 : Costa Mesa, California, United States)
- Language:
- English
- Physical Description:
- 1 online resource cm
- Place of Publication:
- Warrendale, PA SAE International 2003
- Summary:
- Predictive crash sensing and deployment control of safety systems require reliable and accurate kinematic information about potential obstacles in the host vehicle environment. The projected trajectories of obstacles in the path of the vehicle assist in activation of safety systems either before, or just after collision for improved occupant protection. This paper presents an analysis of filtering and estimation techniques applied to imminent crash conditions. Optimization of design criteria to achieve required response performance, and noise minimization, are evaluated based on the safety system to be activated. The predicted target information is applied in the coordinated deployment of injury mitigation safety systems
- Notes:
- Vendor supplied data
- Publisher Number:
- 2003-01-2261
- Access Restriction:
- Restricted for use by site license
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.