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Modeling of Detection and Avoidance of Obstacles as a Contribution to Automotive Applications
Technical Paper
2007-01-4279
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Improvements in safety have reduced fatalities in vehicle collisions, systems as airbags and ABS has reduced accidents even their severity. Lately Active Safety Systems as Adaptive Cruise Control (ACC), Predictive Emergency Brake, Lane Change Assist and Blind Spot Detection Systems has been developed searching for avoiding accidents. Reductions on collision speeds by at least 5 km/h helps to reduce the severity of injuries in frontal collisions.
This paper will focus on four main subjects. In the first time a comparison of sensors available in the present market is presented. Secondly, an idealized time responses during braking will be shown as a development platform for this project. Following, a vehicle model, which includes sub-models for the tires and a passive suspension, will be presented. Finally, an integrated model for dangerous obstacles detection [1] will be shown.
Citation
Sosa, R. and Velazquez, G., "Modeling of Detection and Avoidance of Obstacles as a Contribution to Automotive Applications," SAE Technical Paper 2007-01-4279, 2007, https://doi.org/10.4271/2007-01-4279.Also In
Commercial Vehicle Advancements in Braking, Steering Systems and Vehicle Stability Control Affects
Number: SP-2145; Published: 2007-10-30
Number: SP-2145; Published: 2007-10-30
References
- Yoji Seto Takayuky Watanabe Tero Kuga Yoshinori Yamamura Kenichi Watanabe Research on a Braking System for Reducing Collision Speed 2003
- Wiacek Christopher J. Najm Wassim G. Driver/Vehicle Characteristics in Rear-End Precrash Scenarios Based on the General Estimates System (GES) 1999
- Kenji Kodata Makoto Toabe Yoshihiro Urai Hiroyuki Koike Rear-End Collision Velocity Reduction System 2003
- Peter Berg Conceptos, Sistemas y Esquemas Robert Bosch GmbH 2000
- Walter Ulke Rolf Adomat Karlheinz Burscher Wolfgang Lauer Radar Based Automotive Obstacle Detection System
- Widmann, Glenn R. et al Comparison of Lidar-Based and Radar-Based Adaptive Cruise Control Systems, Delphi Automotive Systems 2000
- John Carlin et al. Evaluation of Cost Effective Sensor Combinations for Vehicle Precrash Detection System California Polytechnic State University 2005