Research on vehicle attitude determination algorithms based on Kalman filter
- Resource Type
- Conference
- Authors
- Luo, Yunling; Tian, Xiaomin; Tan, Jianying; Xiang, HuaiKun
- Source
- Proceedings of 2013 IEEE International Conference on Vehicular Electronics and Safety Vehicular Electronics and Safety (ICVES), 2013 IEEE International Conference on. :11-16 Jul, 2013
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Vehicles
Acceleration
Accelerometers
Kalman filters
Filtering algorithms
Gravity
Noise
vehicle attitude
Kalman filter
MEMS
- Language
Vehicle driving conditions include attitude angle, speed and so on. These factors play a significant role in vehicle safety. Besides, it also influences the driving comfort to some extent. A solution for vehicle gesture detecting without gyroscope is presented in this paper. Firstly, we get the real acceleration and gravity acceleration components by combining two tri-axial accelerometers and taking advantage of the constant property of gravitational acceleration's direction. Then noises signals are filtered on the basis of Kalman filtering algorithm. This method is easy operation for the simple algorithm.