Today, the 1^st 2021 Low-speed Driverless Vehicle Industry Technology Development Summit, hosted by New Strategy Low-speed Driverless Omnimedia and undertaken by Low-speed Driverless Vehicle Magazine under Driverless Network and Low-speed Driverless industry Research Institute, is held at Shenzhen· Pingshan Grand Skylight International Hotel.

More than 100 industrial chain enterprises gather here the summit . As one of the most important people of the summit, Dr. Jim Liang, CTO of Singpilot.AI, jointly participates in the“Pouring Sand”activity. On the ceremony of the Member Union Foundation， All members witness and initiate the establishment of National Low-speed Driverless Industry Alliance.

Liang Zhi    CTO of  Singpilot.AI

Singpilot CTO Dr. Jim Liang focuses on the explanation why Singpilot.AI driverless solution is safer, more reliable and more efficient in summit discussion.

As one of the most applications in automatic driving, low-speed driverless vehicle in industrial park has been put into operation for nearly 20 years and has been quickly promoted in many countries such as Holland, Denmark, France and Japan. With the development of industrial intelligence, driverless vehicles in functional parks in China also have made progress and have been put into operation in semi-closed scenes such as industrial parks, scenic areas, mining areas, ports and airports for functional tasks, including transportation, docking, patrol, security, distribution, police and environmental sanitation. However, China is still in the exploratory stage in functional low-speed driverless vehicles and, integrated development is expected in technology, application scenes are waiting to be expanded and other aspects, including industrial chain, need to be strengthened.

Then, why Singpilot.AI driverless solution is safer, more reliable and more efficient?

First, automatic driving solution pays more and more attention to standardization, modularization of overall AI Architecture. Singpilot.AI adopts the idea of “software reshapes commercial fleet and big data improves quality and efficiency of services” in driverless solutions. It focuses on the R&D of underlying core technology and AI algorithm of autonomous driving.

Second, Singpilot.AI has fully self-developed underlying operating system and more than 100 independent declared patents, involving all-round automatic driving algorithm from underlying operating system of autonomous driving to positioning, perception, decision-making, control and dispatching, can provide a full-stack L4 autonomous driving solution of “automatic driving vehicle plus dispatching platform” for limited scenes such as ports, airports, factories and industrial parks. 

In addition, the founders of Singpilot.AI and its members of the core team are all from well-known institutes and universities at home and abroad such as USTC, SJTU, UESTC and Singapore Institute of Technology. They all have more than 20 years of development experience in robot industry. The Singpilot.AI once developed Singapore first driverless bus on public roads, which was taken and praised by Prime Minister Lee Hsien Loong, Singapore. Such bus won Singapore’s National Awards—A*STAR/Ministry of Industry and Trade Borderless Award.

Specifically speaking, what the industry discussed was mostly end-to-end control concerning driverless technology application in the past, while what the low-speed driverless driving in actual scene need to solve is complicated dynamic whole process accurate positioning, perception, decision-making and control. Singpilot.AI have full-stack self-developed driverless solutions, which are safer, more reliable and more efficient in the whole positioning system, perception system and decision making and control system.

High precision positioning technology-SingPilot.Ai

High precision positioning is the base of unmanned driving. In complex scenes, global positioning of unmanned system under different environment, weather or light environment is to achieve. Singpilot. AI unmanned driving solution, based on multi-sensor fusion navigation technology, can achieve unified positioning under the scenes which are open, lack of fixed features and GNSS positioning drift caused by shelter, without the need for destructive construction. Its positioning technology is up to the accuracy of plus or minus 3cm in industry, which is more advanced and accurate.

Perception system-SingPilot.Ai

Environmental perception system focuses on how to carry out accurate identification and behavior judgment for traffic participants against adaptability of surrounding environment. Singpilot.AI, based on multi-sensor fusion in perception system, may adopt different sensor configurations under different scenes, such as coordination of laser radar and camera or the matching of laser radar and millimeter-wave radar, to meet both perception and security demand of application scenes and cost optimization.

Decision-making system-SingPilot.Ai

Decision-making system is the central brain of driverless driving. How to make reasonable decisions after knowing the surrounding environment and self-positioning through the perception algorithm? Singpilot.AI models the multi-vehicle path planning problem as a multi-agent system, fully considering various constraints and uncertainties of the road, as well as the cooperation and game between vehicles-people and vehicles-vehicles, using intelligent decision-making planning algorithms, to plan the optimal navigation and obstacle avoidance strategies for vehicles on the road.

Vehicle control system-SingPilot.Ai

Vehicle control technology is the core of driverless vehicle, mainly including speed control and direction control. Singpilot.AI has nice adaptive performance in control algorithm framework, which can achieve multi-variety and cross-platform precise control of vehicles, with excellent lateral and longitudinal control accuracy. Meanwhile, its automatic driving solution can be deployed faster，and be safer and more reliable through hardware and software decoupling.

In summary, Singpilot.AI focuses on the R&D of AI intelligence core technology and has rich practical experience at home and abroad in the fields of R&D of automatic driving technology, industry energization and operation services. It has provided overall solutions in the fields of driverless vehicles and logistics handling robots in many initial demonstration projects in limited scenes such as ports, airports, factories and industrial parks, achieving scene application of driverless commercial fleet which is safe, reliable and efficient for customers.