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Conference Paper
Motion Control Block Implementation for Driving Computing System
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- Authors
- MyungWook Park, Yongbon Koo, SungHoon Kim
- Issue Date
- 2018-01
- Citation
- International Conference on Big Data and Smart Computing (BigComp) 2018, pp.653-656
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents motion control block implementation for driving computing system. The driving computing system provides recognition, decision making and control functions based on an integrated hardware platform for autonomous driving. The purpose of the driving computing system is autonomous driving in the urban environment, and various functions are required for this. The motion control block controls the behavior of the autonomous vehicle following the local path and target speed from motion planner in the driving computing system[1]. This block consists of a driving mode decision module, a lateral controller, a longitudinal controller and a driver intention decision module. For the autonomous driving in the urban environment, the lateral and longitudinal controllers of the motion control block are implemented and the driving mode can be switched by the driver operation. In order to verify the algorithm of motion control block, the experiment was conducted in the ETRI (Electronics and Telecommunications Research Institute) the results were confirmed.
- KSP Keywords
- Autonomous vehicle, Control block, Control functions, Hardware platform, Longitudinal Controller, Mode decision, Motion planner, Research institute, Target speed, autonomous driving, block implementation