Cognitive Pilot to create AI-based computer vision system for autonomous trams in China
One of China's main urban rail transit signaling system providers, FITSCO, and Cognitive Pilot, an autonomous driving technology joint venture of Russia's Sberbank and Cognitive Technologies Group, announced they have signed a contract for the development of an AI-based computer vision system for urban trams with the possibility of autonomous control and movement.
According to Jack Wu, CEO of FITSCO, the joint AI-based solution will increase the level of safety and efficiency of public transport.
"The new technology will reduce the number of transport accidents in the city and will minimize their dependence on the human factor,” said Wu.
The joint project will consist of R&D, testing, and commercialization stages in harmony with the business expedition and technology innovation of both parties.
"The implementation of all stages will be facilitated with all the ongoing projects,” said Olga Uskova, CEO of Cognitive Pilot. "The result of the project's first stages will be the development of AI-based advanced driver-assistance system (ADAS). In the absence of a proper reaction from the driver, the tram will automatically control its speed and will brake in front of the obstacles. During all the upcoming tests, the tram operator will still be in the cab, but he will act as a safety controller."
"We expect that with the successful implementation of our joint project, we will continue increasing the AI level of the tram autopilot and in the nearest future we will demonstrate its fully autonomous prototype," said Wu.
In 2019, Cognitive Pilot also started a joint project with Russian tram manufacturer PC Transport Systems on the development of an autonomous tram in Moscow. The developed autonomous driving system detects vehicles and other trams, traffic lights, pedestrians, tram and bus stops, railway switches, and various obstacles. The tram is also able to stop in front of obstacles, maintain a safe distance to the cars ahead, accelerate, and stop. The fully autonomous tram will be developed by 2021-2022.
For more information, visit http://cognitivepilot.com/en.