Skip to main content

Toshiba upgrades solid-state Lidar

Toshiba's Lidar operates in a variety of lighting and weather conditions to 200m
By Ben Spencer July 6, 2021 Read time: 2 mins
Toshiba says its Lidar can monitor snow cover or objects in the road (© Oskari Porkka | Dreamstime.com)

Toshiba has upgraded its solid-state Lidar which it says maintains a maximum detection range of 200m and will advance progress in autonomous driving. 

The company is expanding the application to monitor transportation infrastructure, in such areas as early detection of road subsidence or landslides, snow cover or falls of objects onto roads.

Akihide Sai, senior research scientist at Toshiba’s corporate research & development centre, says: “We have secured technologies essential for a compact, high-resolution, long-range solid-state Lidar that is robust and simple to install."

"We anticipate demand for such a versatile technology in both the autonomous driving and transportation infrastructure monitoring markets.”

Current monitoring of transportation infrastructure relies on cameras, but Toshiba points out their performance is degraded by low light and bad weather.

The new Lidar is expected to realise clear, long-distance, robust 3D scanning and object detection in a variety of lighting and weather conditions. 

Toshiba achieved a compact Lidar through upgrades to its silicon photo-multiplier (SiPM), a light-receiving chip that consists of light-receiving cells controlled by transistors. 

The new chip has a smaller transistor module, and eliminates the buffer layer that protected the transistors with newly developed insulating trenches between the transistors and the light-receiving cells, the firm adds. 

The potential issue of low light-sensitivity from using smaller transistors was solved with the addition of a high-withstand voltage section to raise the voltage input to the light-receiving cell. 

According to Toshiba, these innovations have reduced the size of the SiPM by 75% while enhancing its light sensitivity by 50% against the July 2020 previous model.

More SiPM can now be arrayed in the same package, which the company insists boosts resolution to 1,200 x 80 pixels, a four-times improvement.

Toshiba is to continue to support safer transportation by promoting its LiDAR technologies for autonomous driving and transportation infrastructure monitoring. Continued R&D is expected to further advance the Lidar’s detection range and image resolution. 

For more information on companies in this article

Related Content

  • Certification for Parifex Nano 3D-Lidar
    May 20, 2022
    French metrology institute LNE has registered the speed enforcement system
  • Volvo tests autonomous electric bus on roads at Singapore campus
    March 7, 2019
    Volvo is trialling its 12m long autonomous electric bus on roads at the Nanyang Technological University (NTU) in Singapore ahead of an anticipated release onto public roads. The Volvo 7900 Electric single-decker bus can carry approximately 80 passengers and is the first of two buses being trialled at the NTU’s Centre of Excellence for Testing and Research of Autonomous vehicles (CETRAN) before being extended beyond the campus. CETRAN is staffed by NTU scientists and features a track which replicates var
  • V2V capabilities to feature in over half of cars sold by 2022, say researchers
    May 19, 2017
    A new report from Juniper Research has revealed that, by 2022, 50 per cent of new vehicles will be shipped with vehicle-to-vehicle (V2V) hardware, a technology that enables real-time short-range communication between vehicles. The new research, Consumer Connected Cars: Applications, Telematics & V2V 2017-2022, found that the total number of V2V-enabled consumer vehicles on the road will reach 35 million by 2022, up from less than 150,000 vehicles in 2017. This strong growth rate (376 per cent CAGR) reflects
  • VTT's autonomous cars take to public roads
    May 18, 2017
    The autonomous cars developed by VTT Technical Research Centre of Finland are able to exchange information with each other and their driving environment. They are able to follow a pre-programmed route and avoid collisions with sudden obstacles without input from the driver. The cars currently require the lane markings or sides of the road to be visible. However, by 2020, VTT says the cars will be driving in more demanding conditions on roads covered in gravel and snow. The autonomous cars feature a thermal