The world's first driverless cleaning team was bor

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The world's first driverless cleaning team was born in Songjiang, and new achievements were made in the G60 scientific innovation corridor. Recently, the world's first driverless cleaning team was born in Songjiang, and took the lead in the late night single-chip microcomputer real-time display of experimental data and experimental status test run on the road of tus Caohejing (Zhongshan) Science Park. It is reported that this team was developed by Shanghai Xiantu Intelligent Technology Co., Ltd., which just settled in G60 scientific innovation corridor last year

on the morning of April 3, I came to Xiantu intelligent company located in tus Caohejing (Zhongshan) Science Park to visit this magical team. Under the guidance of Yeqing, the co-founder and chief architect of the company, I saw this magical team, which consists of a 6-meter-long medium-sized cleaning car and a 3-meter-long small cleaning car. On the surface, it is not much different from ordinary sanitation cleaning vehicles

relevant technical personnel specially conducted a simulation demonstration. The driverless cleaning vehicle wakes up automatically and starts slowly from the parking space to carry out cleaning operations; During operation, they can pass traffic lights, roadside obstacles and other traffic conditions smoothly; After cleaning, it will automatically drive to the garbage dump to dump garbage; Finally, return to the starting point and park in the parking space automatically

it is understood that the self driving cleaning fleet has been put into trial operation in tus Caohejing (Zhongshan) Science Park since March 20. In order to ensure safety, the self driving cleaning team is scheduled to wake up automatically at 2 a.m. and drive at a low speed. At present, the feedback effect is good

Ye Qing said that the total cost of all sensors of the cleaning vehicle is only 300000 yuan. This is because the system adopts the sensor fusion scheme of multi lidar and low-cost gps/i lithium battery faucet to promote the bi-directional development of Mu for smart energy battery cables made of high nickel materials in terms of map and positioning, avoiding the use of high-precision positioning equipment costing hundreds of thousands of yuan. At the same time, it uses the fusion technology of multiple low harness lidar and camera in terms of sensing, To replace the commonly used 64 line lidar. In addition, the whole system adopts a sensor support scheme to facilitate the transformation of a variety of vehicle models, and can gradually move towards mass production and commercialization

cleaning vehicles can protect the cleanness and beauty of the city and reduce the work intensity of sanitation workers. In addition, technically speaking, the route of urban road cleaning is relatively fixed, and the operation time is mostly at night or in the early morning. The road condition is simple, and the driving speed is low and the safety factor is high. " Yeqing frankly said that driverless sanitation vehicles have great commercial value. According to rough estimates, the cost of road cleaning in China has reached trillions, and more than 60% of the current sanitation companies are labor costs

Xiantu intelligent company settled in tus Caohejing (Zhongshan) science and Technology Park in the second half of 2017, and launched the world's first self driving cleaning fleet in just half a year, which is closely related to the advantages of G60 Kechuang's automatic hammer lifting mechanism installed on the rocker arm upper corridor in terms of talent, technology and information. It is understood that the company obtained angel investment at the end of 2017, and then completed round a financing with a financing amount of more than 100million yuan within two months of the electro-hydraulic servo universal material testing machine

at the same time, the company also gathered a large number of industry talents. Huang Chao, the founder and CEO of the company, was once in charge of the driverless project in didi and served as the project leader and chief engineer. Before joining Didi, Huang Chao was engaged in large-scale machine learning, distributed computing and other related R & D work in Baidu Research Institute, and participated in and was responsible for a number of core business R & D. In addition, the team also includes Yeqing, the former architect of Baidu computing team and data team, who was responsible for Baidu's largest data warehouse construction and data mining project and developed Baidu's first generation large-scale machine learning framework distributed vector computing engine. Other core members of the team come from major Internet companies and auto companies, including Google, Baidu, Didi, general motors, Volvo, etc., and have profound technical accumulation in the fields of driverless, AI, travel network, big data, etc

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