Fuzzy inference-based low-speed, close-range collision-warning algorithm for intelligent vehicle
- Resource Type
- Conference
- Authors
- Song, Young-Hun; Lee, Suk; Lee, Kyung-Chang
- Source
- TENCON 2012 IEEE Region 10 Conference TENCON 2012 - 2012 IEEE Region 10 Conference. :1-5 Nov, 2012
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Vehicles
Acoustics
Measurement by laser beam
Calculators
Fuzzy logic
Inference algorithms
Lasers
intelligent vehicle
low-speed close-range collision warning
fuzzy inference
- Language
- ISSN
- 2159-3442
2159-3450
Traffic accidents are still increasing even though vehicles are becoming more intelligent to enhance driver convenience and safety. Single car-on-car rear impacts in urban areas have increased rapidly due to driver inattention. To prevent rear vehicle crashes in urban areas, automobile manufacturers have developed various low-speed, close-range collision-warning systems. This paper presents a low-speed, close-range collision-warning algorithm for urban areas using fuzzy inference. Experiments using an embedded microprocessor in the driving track demonstrated the feasibility of the proposed collision-warning system.