Skip to main content

RoadBotics clinches Detroit road assessment deal

RoadBotics has been chosen to use their machine-learning technology to assess the city of Detroit’s entire 4,185km road network. The company will work with PlanetM, a Michigan state networking partnership of mobility organisations, educational institutions, research and development groups and government agencies working together in the automotive sector. RoadBotics will provide Detroit transportation officials with its standard Artificial Intelligence pavement assessment as well as a new AI Maintenanc
January 2, 2019 Read time: 3 mins

RoadBotics has been chosen to use their machine-learning technology to assess the city of Detroit’s entire 4,185km road network.

The company will work with 8439 PlanetM, a Michigan state networking partnership of mobility organisations, educational institutions, research and development groups and government agencies working together in the automotive sector.

RoadBotics will provide Detroit transportation officials with its standard Artificial Intelligence pavement assessment as well as a new AI Maintenance (AIM) tool for unsealed cracks. The company says Detroit will be the first city to pilot the AIM tool, which will assist Detroit in taking a preventative approach to road maintenance.

Oladayo Akinyemi, deputy director at Detroit’s Department of Public Works, said the data will be used to expand the city’s road asset database as part of Detroit’s broader data-driven asset management strategy for the City's Right of Way project.

RoadBotics, based in Pittsburgh, emerged from the Robotics Institute at Carnegie Mellon University, also in Pittsburgh. RoadBotics has used the same technology that moves autonomous vehicles - deep learning-based image processing. It incorporates a proprietary app and standard smartphone, placed on the windshield of any vehicle, to collect roadway image data.

The image data is uploaded to the RoadBotics platform where deep learning is applied to isolate the road from other objects in each image, assess the road condition, and automatically generate a condition rating for the road surface.

The objective rating is based on the presence, type and density of the road surface features and distresses that pavement engineers are trained to identify when visually inspecting roads. Finally, RoadBotics renders the complete assessment on its interactive, online mapping platform called RoadWay.

Mark DeSantis, co-founder and chief executive of RoadBotics, said that more than 90 customers in the US are now using company’s technology. In Australia, RoadBotics is working with engineering firm Fulton Hogan to offer its technology across the south Pacific region.

The Detroit contract come as the company raised nearly US$4 million in financing, led by Boston-based Hyperplane Venture Capital.

RoadBotics also recently announce that the city of Savannah in the US state of Georgia will continue with RoadBotics technology to finish their assessment of the rest of the city's 1,125km road network that started last summer. The city also plans to make RoadBotics' assessment of their road conditions available to the public.

For more information on companies in this article

Related Content

  • SwRI uses AI on Tennessee integrated corridor
    April 22, 2021
    SwRI is developing machine learning algorithms to help coordinate traffic management
  • Avoiding the call of the wild
    June 29, 2018
    Hitting an animal on a rural road can be fatal for all parties involved – but detecting and avoiding them requires clever technology. Andrew Williams carefully scans the horizon for details. Wildlife-vehicle collisions are an ever-present threat in rural areas around the world, and there is certainly nothing funny about suddenly finding an angry moose in your headlights on a sharp bend. A variety of detection and avoidance systems are currently in use or under development to help prevent your vehicle being
  • Reducing congestion with Tomtom's historical traffic data
    December 5, 2012
    Historical traffic data provided by TomTom is being used by the local government in Spain’s Basque region to reduce road congestion at less cost. Old habits die hard. Photos from as far back as the 1930s show people counting cars by the roadside in order to provide congestion data to those running road networks. Today, such techniques are still used, albeit augmented by a range of automation technologies such as inductive loops, infra-red sensors and number plate recognition. Even with these advances, howe
  • SPONSORED CONTENT: Using AI to achieve real traffic intelligence
    June 3, 2020
    The application of artificial intelligence has the potential to transform the performance of vision-based systems used for a wide and growing set of applications. These include vehicle presence detection and identification, count and classification, and enforcement, explains Roy Czinku of International Road Dynamics