Real-time automotive radar data processing for object display and tracking

• Main Author: Yin, Yiping
• Other Authors: Lu Yilong
• Format: Final Year Project
• Language: English
• Published: 2016
• Subjects: DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/69288
• Institution: Nanyang Technological University

Nowadays, new high technology has played an significant role in human life and significantly it has changed the way that how people lives. In this way, the vehicle such as car, has become a fundamental means of transportation which provide a modern and convenience life. Subsequently a growing number of people has relayed on car instead of public transport no matter where they are living in. Nevertheless, with the popularity of vehicles, traffic safety has become a major problem in every country and traffic accident happened more and more frequency everyday and anywhere. Thus, to increase traffic safety and minimize the probability of occurrence of traffic accident is extremely important. To solve this problem, self-driving has come out to take a chance. With the achievement of self-driving, driving in the road will become very comfortable, safe and relaxed. In this circumstance, it will minimize the chance of traffic accident due to human factors. Radar is an essential part so as to fulfill the idea of self-driving. Furthermore, automotive radar sensor is capable to track and detect the obstacles around vehicles and gather all required real time data. This project is targeted to develop obstacles detection and tracking algorithms using real radar measurement (points) data which are collecting from automotive grade radars. By using C++ programming to analyze the real time data which are measured from automotive radars, the obstacles are able to be plotted. By using MATLAB to classify the type of obstacles, to differentiate the kind of vehicles. And this project is aimed to build an independent environment to process the data analysis without any computer. YIN Yiping