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

  • C/AVs are target of NXP launch
    October 10, 2022
    TEF82xx radar transceiver enables 360-degree sensing for critical safety applications
  • LG U+ uses app to summon AV at South Korea demo
    October 29, 2019
    LG U+ demonstrated how a smartphone app can be used to summon an autonomous vehicle (AV) at the LG Science Park in Seoul, South Korea. A report by Korea Joongang Daily says an LG U+ employee summoned the AV connected to the carrier’s 5G network from a nearby car park and was able to monitor the car’s location through the app. Once inside the AV, the employee used the app to initiate a 2.5km journey around the park while a safety driver remained in the front seat. During the trial, a manually operated
  • Most pedestrian detection systems ‘hit pedestrians at 30mph’
    October 14, 2019
    In-car automatic emergency braking systems with pedestrian detection mostly fail to avoid hitting pedestrians - and are “completely ineffective at night”, according to new research. In shocking findings, the American Automobile Association (AAA) revealed that most systems hit a simulated pedestrian target at 30mph. A collision also occurred 89% of the time when a vehicle operating at 20mph encountered a child darting between two cars. In tests, all vehicles collided with an adult pedestrian immediately fo
  • V2X: The design challenges
    May 2, 2018
    The connected future throws up a number of enticing possibilities for us all. But, says Houman Zarrinkoub of MathWorks, issues around visualisation, prototyping and model evolution need to be examined carefully. We are all aware of the huge amount of investment going into driverless car technologies. With the likes of Volvo, Tesla and BMW getting in on the act, soon they will be a common sight on our roads. However, for this to occur, the vehicles must be able to connect with each other and ensure driver