PAVE – Testing today’s road assessment algorithms on tomorrow’s delivery robots

Purpose and goal

The project will investigate how small vehicles and robotic platforms can be used to collect data on the condition of pedestrian and cycle paths. ​ The goal is to test whether NIRA´s proven road surface algorithms from the automotive industry can be used in urban environments on small vehicles and to develop an initial basis for a future data service that supports municipalities´ maintenance work.

Expected effects and result

The project is expected to provide new knowledge on how road surfaces in pedestrian and cycling environments can be assessed using sensors in small vehicles and robots. ​ The result will be a technical prototype, test data and business model proposals. In the long term, this can contribute to more efficient maintenance, increased accessibility and better safety in urban infrastructure.

Planned approach and implementation

The study is being conducted by NIRA and Dyno Robotics. A robotic platform is equipped with sensors to collect test data. ​ NIRA is evaluating algorithms to detect gravel, potholes and unevenness, while Dyno is contributing with robotics and image analysis. ​ Interviews with municipalities complement the technical part and form the basis for business models.