2nd from right) instructing students to debug the race car.
**Hubei News, December 22 (Li Yizhen, Gong Zixuan, Zhang Zhi, Chen Hongyu) At noon on December 20, a red, blue and black "racing car" traveled through the training ground of Wuchang Institute of Technology, accelerating, turning, obstacle avoidance, unmanned ......All kinds of show-off skills earned enough envy from the onlookers.
It is reported that this car has just made a "stunning debut" in the outdoor competition of the 18th National College Student Intelligent Car Competition, and the participating teachers and students team won the national second prize and the national third prize of the outdoor intelligent driving challenge in this event with excellent professional knowledge and excellent professional level.
It is understood that in addition to the core motherboard of this intelligent racing car purchased according to the requirements of the event organizer, the rest of the configuration is assembled by the students of the school's intelligent manufacturing college. It can not only perceive and analyze the surrounding environment under a set route to achieve unmanned driving, but also accurately avoid pedestrians or other targets that suddenly intrude.
Teachers and students test the car.
Since the end of September, the school has been preparing for the competition. According to the instructor Li Hao, the school's School of Intelligent Manufacturing has recruited and selected nearly 30 students from electrical engineering and automation, mechanical engineering, mechanical design and manufacturing and automation to participate in the competition. Instructors Liu Renbing, Wang Wei, Li Hao, Zhao Xiaojuan, Yan Chunai, Zuo Xudong and other 6 people formed teams according to the majors and interests of the participating students, and then plunged into intense training.
Through the integration of a variety of path planning and vehicle control algorithms, and the use of redundant perception of multi-sensor fusion, the car can run faster and more accurately in an unmanned state, and at the same time ensure that the vehicle can still efficiently complete the dynamic competition in the case of controllable abnormalities, and fully cover the needs of each competition.
Different from ordinary cars, the highlight of smart cars is that they have functions such as autonomous driving, route recognition, and environment screening. Contestant Feng Zhixin said that through this competition, the students not only mastered new knowledge and skills, but also improved their comprehensive quality in all aspects, but also contacted many participants with different professional backgrounds with the help of the platform of the event, and better understood the cutting-edge technology and industry dynamics of intelligent manufacturing industry through exchanges.
A team of teachers and students in intelligent racing.
According to reports, Feng Zhixin is mainly involved in the optimization and debugging of smart cars. He recalled that there was a little glitch in the car navigation part during the preparation for the race, and he relied on the instructor and team members to consult a lot of information and repeatedly debug, and everyone worked together to overcome the difficulties, and finally solved the problem perfectly before the game.
In the future, the smart car will also try to plan routes to carry out patrols according to requirements, provide real-time feedback on campus safety conditions, and help new students transport luggage and other functions. Instructor Zuo Xudong introduced that in the future, the team will continue to develop various functions of smart cars and continue to promote the upgrading and iteration of racing performance. (ENDS).