Skip to main content

Cognitive Technologies to develop autonomous tram in Russia

Cognitive Technologies has joined forces with Russian manufacturer PC Transport Systems to deploy an autonomous tram on the streets of Moscow by 2022. Cognitive says that its simplified system means autonomous trams will appear on public roads much earlier than self-driving cars. The company claims its system will detect vehicle and other trams, traffic lights, pedestrians, tram and bus stops, railway and switches and obstacles. Also, the technology will allow the tram to stop in front of obstacles a
February 14, 2019 Read time: 2 mins

Cognitive Technologies has joined forces with Russian manufacturer PC Transport Systems to deploy an autonomous tram on the streets of Moscow by 2022.

Cognitive says that its simplified system means autonomous trams will appear on public roads much earlier than self-driving cars.
 
The company claims its system will detect vehicle and other trams, traffic lights, pedestrians, tram and bus stops, railway and switches and obstacles. Also, the technology will allow the tram to stop in front of obstacles and maintain a safe distance to the cars ahead, accelerate and stop.

The trams will feature a combination of sensors which include 20 video cameras and up to ten radars to help detect road scene objects at night as well as in rain, fog and snowy conditions.
 
Olga Uskova, president of Cognitive, says the company’s low-level data fusion technology allows the computer vision model to use the combined raw data coming from cameras and radars to provide a better understanding of the road scene.

“Cameras, for example, correctly recognise objects in 80% of cases, additional data from radar raises the detection accuracy to 99% and higher,” Uskova adds.

The trams will use GPS sensors and will use high-precision cartography along its route.

Initially, an intelligent control system will serve as an active driving assistant in dangerous situations. A second stage test will follow in which an operator will remain in the cabin as a backup driver.

During the next two months, autonomous tram tests with the operator in the cabin will take place in closed facilities which will then be followed by a trail in Moscow.

Related Content

  • New research predicts growth of autonomous parking technology
    March 9, 2016
    New research by ABI Research forecasts that shipments of new cars featuring autonomous parking technologies to grow at 35 per cent CAGR between 2016 and 2026 and for revenues to likewise show growth at 29.5 per cent CAGR. ABI Research identifies three phases of autonomous parking, with each successive stage set to gradually displace the former and all three coexisting to some degree over the next decade. Ultimately, technology will reach a point in which the car parks itself entirely, with no driver assi
  • Traffex snapshot reveals enforcement advances
    July 24, 2017
    An indication of just how far beyond spot speed and red light the enforcement sector has progressed was evident in the range of new and improved equipment on display at the recent Traffex event in Birmingham. One of the key trends, particularly in the UK but also evident elsewhere, is the increase in average speed enforcement, according to RedSpeed’s managing director Robert Ryan, who predicts a big increase in installations this year. “The price point has reached a level authorities can afford,” he says, a
  • Leonardo addresses new mobility trends
    October 19, 2022
    Italy-headquartered Leonardo outlines why, and how, the company is at the forefront of more effective, efficient, and sustainable mobility - a top European priority - through investments in the Next Generation EU programme, aimed at achieving energy and climatic objectives.
  • SICK launches all-weather 3D sensor system for traffic management
    January 29, 2018
    Sick has launched the TIC502 Lidar sensor traffic and warning system which is said to scan vehicles up to 100 times a second with 99% accuracy to generate a 3D profile of each vehicle. The all-weather solution can be used for counting fast lane, free-flowing and static traffic to facilitate real-time management and electronic toll charge assessment of all vehicle types according to standard international transport classifications. TIC502 has a range of up to 40 metres and minimum mounting height of 1.5