Skip to main content

Innoviz bridges gap in infrastructure safety with collision detection

Bridge Collision Detection system rolled out in Israel with toll operator Drive Group
By Adam Hill June 26, 2023 Read time: 2 mins
Innoviz suggests bridge collisions in the US cost an average of $18,000 each to repair (© Gregx11 | Dreamstime.com)

Lidar specialist Innoviz Technologies is to deploy its Bridge Collision Detection solution on highways, tunnels and bridges across Israel.

The company has an agreement with toll operator Drive Group to roll out the technology, and says that around 15,000 bridge and tunnel collisions occur each year in the US, with an average cost for repair of $18,000 per incident.

Its solution uses data gathered from Innoviz Lidar sensors from both sides of a highway, several kilometres ahead of the entrance to a bridge or tunnel.

This system establishes a safe operating zone and identifies vehicles with heights or widths exceeding predefined ranges determined by the road operator.

System alerts can trigger a camera to identify and share licence plate information with local authorities, who can intervene and stop the vehicle to prevent potential collisions.

"There is no reason to accept the present situation of bridge and tunnel accidents," says Innoviz CEO and co-founder Omer Keilaf.

"It is estimated that 2-3% of the world's bridges are damaged every year, and we believe the technologies being developed at Innoviz can be a game changer for roadways across the world."

Innoviz says its method "shows potential in significantly reducing false alarms from camera–based software systems"

It adds that a Lidar-based system offers "a truer, more accurate 3D visualisation of a vehicle's dimensions".

Drive Group is set to become a global distributor of the technology for highway and local authority customers.

CEO Itamar Ben Meir says it has "found a potentially world-leading solution right here in Israel".

For more information on companies in this article

Related Content

  • Citilog’s AID ramps up traffic safety with deep learning
    September 17, 2024
    Deep learning is revolutionising traffic safety and reducing congestion by empowering Artificial Intelligence (AI) to more accurately detect incidents, dramatically improving response times. Traditional AI systems often struggle with accuracy, generating false positives that distract from real incidents and require more resources to analyse manually.
  • Remote remedies help US authorities identify bridge deficiencies
    September 6, 2017
    Every day 185 million vehicles – cars, trucks, school buses, emergency response units - cross one or more of America’s 55,710 'structurally compromised' steel and concrete road bridges, the highest concentration of which are in Iowa (nearly 5,000), Pennsylvania and Oklahoma. Nearly 2,000 of these crossings are located on interstate highways, according to the American Road and Transportation Builders Association's recent analysis of the US Department of Transportation's 2016 National Bridge Inventory.
  • Citilog’s early detection prevents tragedy in Alpine tunnel
    July 23, 2025

    Citilog will be showcasing the real-world power of its automatic incident detection (AID) technology by highlighting how it operated in a real-world situation when the system helped prevent a potential tragedy in France’s Vuache Tunnel.

    At 10:33 on 11 June 2024, Citilog's AI-powered system identified a stopped vehicle and immediately triggered tunnel closure procedures. By 10:38, when a fire broke out on the truck, the tunnel was already sealed, preventing other vehicles from entering what could have been a catastrophic situation.

  • Drone pics are 'extra golden nugget' for emergency services and traffic operators
    August 8, 2024
    UK city working with Vesos, Skyfarer & Haas Alert to get 'first eyes' on collisions