Project

AI ROAD SIDE - Recommendation for methodology on AI-based Road-side object identification

AI ROAD SIDE - Recommendation for methodology on AI-based Road-side object identification

Period
1 May–30 September 2021
Project manager
John-Fredrik Grönvall

The project aims to investigate and specify the Swedish Transport Administration’s requirements for Road-side image processing, e.g. what is state of the art and what has already been done, are there existing solutions we can further utilize? Possible data scources, e.g. road scanning data and vehicle camera images from reference road areas will be investigated and specified. Processing possibilities will also be worked through e,g, requirements and costs for data storage and data access interfaces. Finally, the draft requirement for Proof of Concept for a road-side image processing project will be set up.

The result aim to be a recommendation for methods and requirements for data processing, including also how to set-up a Proof of Concept, for road-side object processing. The tool will help us to create very precise dynamic maps that can optimize road maintenance and information to automated vehicles in their self-driving mode.

Short facts

Research area
Safety performance evaluation
Financier(s)
Chalmers SO Transport
Partners
Asymptotic
Chalmers University of Technology
Trafikverket
VCC
Project type
Safer Pre-study