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

  • Innoviz Lidar targets V2X in China
    November 11, 2021
    Combined tech tie-up with JeuFX is expected to help sensors with obstacle detection
  • Pioneer develops low cost 3D-LIDAR for autonomous cars
    September 7, 2015
    Drawing on its experience with optical disc technologies consumer electronics giant, Pioneer Corporation is developing a 3D-LIDAR (light detection and ranging) compact, high performance low-cost sensor for autonomous vehicles. The company has completed trial manufacture of the sensor and will begin in-car trials in 2016. During the in-car trials, Pioneer will launch advanced map creation using mapping vehicles fitted with 3D-LiDAR, with Increment P Corporation, its map creation subsidiary. In the near fu
  • Here unveils Live Sense road hazard SDK
    October 14, 2019
    Here Technologies has released a software development kit (SDK) which it says provides real-time insights on driving conditions and upcoming obstacles without the need for connectivity. Here claims its Live Sense SDK uses artificial intelligence and machine learning to turn front-facing cameras such as smartphones and dashcams into vehicle sensors which can detect other vehicles, pedestrians or cyclists, potholes and road closures. Live Sense then provides information through audio and visual notificati
  • Cost Benefit: There’s still life in the RSU
    May 24, 2021
    A mixture of mobile and static roadside units may be what’s required to fulfil the needs of connected vehicle communications