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

  • January 31, 2012
    Wireless traffic data in real time
    The effect of moving objects on the electromagnetic landscape set up by cellular telephony networks can be detected and interpreted to give real-time traffic data across large geographical areas at low cost. Here, we revisit the Celldar concept. Global economic downturn has pushed public-sector agencies, transport administrations among them, to push even harder for cost efficiencies. Unfortunately, when it comes to transport safety and efficiency the public sector often has to work up to a cost rather than
  • February 1, 2012
    Australia's ground breaking average speed enforcement
    The speed enforcement system on the Hume Highway in Australia combines both spot and point-to-point solutions. Here, Redflex's Peter Whyte discusses its implementation. The Australian State of Victoria has achieved notable success in reducing casualty rates since launching a three-pronged road accident prevention initiative in the late-1980s.
  • March 19, 2014
    New opportunities in a data-rich future
    Jason Barnes looks at where the detection and monitoring sector is heading. In the future, there will be no such thing as an un-instrumented road. Just a short time ago, that could have been a quote from a high-level policy document but with the first arrivals of vehicles with 802.11p connectivity – the door-opener to Vehicle-to-X (V2X) applications – it’s a statement which has increasing validity. The technology which uses our roads will also provide information on road conditions but V2X isn’t the only
  • January 24, 2014
    Subaru debuts improved driver assistance systems
    The latest EyeSight driver assistance system from Subaru of America now features colour stereo cameras that deliver an approximately 40 per cent longer and wider detection range, brake light detection and can now fully function when the speed differential between the Eyesight equipped car and another vehicle is up to 30 mph. EyeSight is mounted inside the car on the upper edge of the windshield in a housing that has been made 15 per cent smaller. The EyeSight system processes stereo images to identify t