Spatially distributed collaborative automotive radar

Purpose and goal: This project proposes a distributed collaborative radar network, where a number of cars in close proximity in an urban environment connect randomly to a 1 radar network and share their radar data at a low level. The spatial diversity of such a radar network results in drastically improved situational awareness, better

object classification, early warning and ultimately accident reduction. The purpose of this feasibility study is to investigate and benchmark the radar data improvement and thus the situational awareness of such a radar network compared to a single radar system. Expected results and effects: ** Denna text är maskinöversatt **

Quantify the radar data improvement and hence the situational awareness of such a radar network compared to a single radar system. Such a system would, in a traffic situation, drastically improve situational awareness, improve object classification, provide early warnings and ultimately lead to accident reduction.

Approach and implementation: Define the test cases that will serve as a base for evaluating the feasibility of spatially distributed radar detections, and which transmission technology and which protocol or standard will be utilized for the sharing of discrete object detections. Produce measurements that can be used for fusion and analysis based on

the use cases. Investigations on how to produce "ground truth" data that can be used for object classification will be performed. For this, annotated public datasets comprising both radar and imaging sensors will be used.