Skip to main content

USDoT Intersection Safety Challenge moves to next level

Derq & Miovision among organisations through to next round of competition
By Adam Hill January 9, 2025 Read time: 2 mins
(© Andrii Biletskyi | Dreamstime.com)

Derq and Miovision are among the companies, universities and other organisations which have won through to the latest, $4m, stage of the US Department of Transportation (USDoT)'s Intersection Safety Challenge.

The awards for Stage 1B of the multi-stage prize competition - System Assessment and Virtual Testing - were announced at the Transportation Research Board Annual Meeting in Washington, DC: 10 teams will be given amounts ranging from $166,666 to $750,000, for a total of $4m in prize awards. 

The challenge supports the US National Roadway Safety Strategy (NRSS) and was set up to encourage teams of innovators and end users to develop, prototype and test intersection safety systems which use emerging technologies including AI and machine learning.

In Stage 1A, the winning teams each received $100,000 for proposing their concepts. In Stage 1B, they had to demonstrate the technical aspects of their safety systems by identifying vehicles and people moving on the road - both inside and outside of a vehicle - and predicting potential collisions using real-world scenarios.

Their challenges included sensor fusion, classification, path and conflict prediction using USDoT's real-world sensor data collected on a closed course at the Federal Highway Administration Turner-Fairbank Highway Research Center.

In this round, Tier 1 winners get $750,000 each: these are Derq USA; plus the universities of Michigan, California (Los Angeles) and Hawaii.

The University of Michigan team includes Mcity, General Motors Global R&D, Ouster and Texas A&M University.

Tier 2 winners get $166,666 each: Orion Robotics; Florida A&M University and Florida State University; University of Washington; University of California (Riverside); Ohio State University; and Miovision, which includes Miovision USA, Carnegie Mellon University, Amazon Web Services and Telus.

These systems are set to identify and mitigate unsafe conditions involving vehicles and vulnerable road users at roadway intersections - and the next stage is for prototyping and field-testing.

USDoT principal deputy assistant secretary for research and chief scientist Dr. Robert C. Hampshire, says: "Enhancing the safety of vulnerable road users at our nation’s roadway intersections is a critically important element in driving down fatalities on our roads to zero.”

For more information on companies in this article

Related Content

  • ITS solutions to keep truck traffic moving
    June 8, 2015
    David Crawford reviews freight management initiatives. Managing truck traffic to minimise its environmental impacts, without adversely impacting on its critical economic role, continues to drive ITS-based solutions in both urban and interurban contexts.
  • IBTTA explains INVEST in America Act 2021
    June 23, 2021
    Mark Muriello, IBTTA director of policy & government affairs, outlines some of the key tolling points of the US House Transportation & Infrastructure Committee’s INVEST in America Act 2021
  • Ford teams up with MIT and Stanford on automated driving
    January 24, 2014
    Building on the automated Ford Fusion Hybrid research vehicle unveiled last month, Ford is announcing new projects with Massachusetts Institute of Technology (MIT) and Stanford University to research and develop solutions to some of the technical challenges surrounding automated driving. Automated driving is a key component of Ford’s Blueprint for Mobility, which outlines what transportation will look like in 2025 and beyond, along with the technologies, business models and partnerships needed to get the
  • GHSA acts on 'dirty little secret' of US distracted driving
    November 6, 2023
    Partnership with GM sees grants awarded to authorities in DC and Washington state