The G60 Science and Technology Corridor produced new results. Recently, the world's first driverless cleaning team was born in Songjiang, and took the lead in late night trials at the Qidi Caohe Technology Park. It is reported that this team has just settled in the G60 last year. Shanghai Science and Technology Co., Ltd. developed by the Shanghai Science and Technology Corridor.
On the morning of April 3rd, the reporter visited Xiantu Smart Co., Ltd. at Qihe Riverside (Zhongshan) Science and Technology Park to visit this amazing team. Under the guidance of the company’s co-founder and chief architect Ye Qing, see this magical The team consists of a 6-meter long medium-sized cleaner and a 3-meter-long mini-cleaner. On the surface, it doesn't look much different from an ordinary sanitation cleaner.
Relevant technical personnel deliberately performed a simulated demonstration. The driverless cleaning vehicle automatically wakes up and starts slowly from the parking space to perform cleaning operations; during the operation, they can smoothly pass traffic lights, roadside barriers and other traffic conditions; cleaning After completion, it will automatically drive to the dumping place to dump the garbage; finally, it will return to the starting point and automatically park in the parking space.
It is understood that the self-driving cleanup team has started trial operation at the Kaihe Caohejing (Zhongshan) Science and Technology Park since March 20. To ensure safety, the self-driving clean-up team is scheduled to wake up at 2 am and to drive at a low speed. Feedback is good.
Ye Qing said that the total cost of all sensors for the clean vehicle is only RMB 300,000. This is due to the fact that the system uses a multi-laser radar and low-cost GPS/IMU sensor fusion scheme for maps and positioning, avoiding the use of hundreds of thousands of dollars. The high-precision positioning equipment, at the same time, the perception of the use of a number of low-beam laser radar and camera fusion technology, to replace the commonly used 64-line laser radar. In addition, the entire system uses a sensor bracket scheme, easy to carry out on a variety of models Renovation can gradually lead to mass production and commercialization.
Clean vehicles can protect the cleanliness and beauty of the city and reduce the work intensity of sanitation workers. In addition, technically speaking, the roads for cleaning urban roads are relatively fixed, and the working hours are mostly night or early morning, the road conditions are simple, and the sweeping time The speed is low and the safety factor is high. 'Ye Qing admits that driverless sanitation vehicles have huge commercial value. According to a rough estimate, the cost of road cleaning across the country is already on the order of one trillion yuan, and over 60% of the current environmental sanitation companies are Labor costs.
Xiantu Intelligent Company settled in Qihe Caohejing (Zhongshan) Science and Technology Park in the second half of 2017 and launched the world's first automatic driving and cleaning fleet in just six months. It is inseparable from the gathering advantages of talents, technology and information in the G60 Science and Education Corridor. It is understood that the company obtained angel investment at the end of 2017, and in less than two months, completed A round of financing with a financing amount of more than 100 million yuan.
At the same time, the company also gathered a large number of industry professionals. The founder and CEO of the company, Huang Chao, was responsible for the driverless project in DDT. He served as project leader and chief engineer. Before joining Didi, Huang Chao was engaged in a large-scale machine at Baidu Research Institute. Learning, distributed computing and other related R&D work. Participated in and responsible for a number of core business R&D. In addition, the team also had former Baidu computing team and data team architect Ye Qing. He was responsible for Baidu's largest data warehouse construction and data mining projects. Development of Baidu's first generation of large-scale machine learning framework distributed vector computing engine. Other team core personnel are from major Internet companies and car companies, including Google, Baidu, Didi, General Motors, Volvo, etc., in driverless, AI, Travel network, big data and other fields have profound technology accumulation.