Open AccessIntelligent Assisted Driving System Based on Multi-MCU
Author(s) -
Shixu Xia,
Yuhang Xiong,
Hao Gao,
Jiashun Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1676/1/012186
Subject(s) - microcontroller , computer science , flexibility (engineering) , process (computing) , computer hardware , panorama , set (abstract data type) , embedded system , transmission (telecommunications) , signal (programming language) , image processing , real time computing , artificial intelligence , image (mathematics) , telecommunications , statistics , mathematics , operating system , programming language
The multi-eye vision image acquisition method is used to allow multiple cameras to collect panorama information around the car and send it to multiple MCUs (Microcontroller Units) to process the images at the same time, and then extract valid information. The main MCU comprehensively processes these valid signals to get the most urgent control signal, then drives the voice broadcast module to assist the driver in driving the vehicle. At the same time, the auxiliary MCU is set to monitor the operation of the main MCU and perform various control actions instead of the main MCU when it fails. This not only solves the contradiction between the high complexity of image processing and the requirement for fast signal processing and transmission speed, but also makes the car have good visual processing capabilities, control flexibility and safety.