Development of an embedded vehicle safety system for frontal crash detection
- 9 September 2008
- journal article
- research article
- Published by Taylor & Francis in International Journal of Crashworthiness
- Vol. 13 (5), 579-587
- https://doi.org/10.1080/13588260802316714
Abstract
Automobiles crashes are becoming a source of increasing social concern, which instigates government bodies to impose stringent requirements on vehicle safety. The development of the embedded intelligent safety system (ISS) platform is a difficult task and involves many factors such as generation and interconnection of the hardware that support the execution of software. This paper deals with high-performance computing to detect and monitor frontal vehicle crash using a sensing algorithm which has been embedded in the proposed vehicle safety system for frontal collision. It also describes the mechanism for generating the frontal collisions data using a pneumatic device. The crash characteristics of precision collision, detection algorithm and computational model enhances the sensing algorithm that is embedded for real-time application. The embedded structure is developed based on a hardware platform, a system interface and a software driver. In this work, the artificial crash data generated using the pneumatic device are used for three main purposes. First, it is used to validate the effectiveness of the proposed sensing algorithm. Secondly, we use it to evaluate the performance of the ISS for detection and lastly, we use the data to monitor the effectiveness of the developed embedded safety in an automotive application.Keywords
This publication has 9 references indexed in Scilit:
- Ecological Interfaces for Improving Mobile Robot TeleoperationIEEE Transactions on Robotics, 2007
- Soft-Computing-Based Car Body Deformation and EES Determination for Car Crash Analysis SystemsIEEE Transactions on Instrumentation and Measurement, 2006
- Validating Human–Robot Interaction Schemes in Multitasking EnvironmentsIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2005
- Electronics and Algorithms for Rollover SensingPublished by SAE International ,2004
- Model-based human-centered task automation: A case study in ACC system designIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2003
- A treatise on crash sensing for automotive air bag systemsIEEE/ASME Transactions on Mechatronics, 2002
- On the detection of vehicular crashes-system characteristics and architectureIEEE Transactions on Vehicular Technology, 2002
- Designing human-centered automation: trade-offs in collision avoidance system designIEEE Transactions on Intelligent Transportation Systems, 2000
- Robustness optimization for vehicular crash simulationsComputing in Science & Engineering, 2000