# Designing a Roadside Sensor Infrastructure to Support Automated Driving

## TL;DR

This paper explores the design of roadside sensor networks, analyzing coverage and occlusion to support automated driving, using simulations based on real traffic data to determine optimal sensor configurations.

## Contribution

It provides a systematic analysis of sensor placement and parameters to optimize roadside infrastructure for automated vehicle support.

## Key findings

- Sensor network design significantly affects traffic detection completeness.
- Optimal sensor range and orientation improve coverage and reduce occlusions.
- Proposed setup could substantially support automated vehicle perception.

## Abstract

Automation of complex traffic scenarios is expected to rely on input from a roadside infrastructure to complement the vehicles' environment perception. We here explore design requirements for a prototypical setup of virtual vision or RADAR sensors along one roadside. Explicitly, we analyze the road coverage and the probability of vehicle occlusions, with the objective of evaluating the completeness of information that is captured by the sensor field. Simulation case studies are performed based on real traffic data acquired at the German Autobahn 9 near Munich. Our findings indicate how the sensor network should be designed in terms of sensor range, orientation and opening angle, in order to enable effective traffic detection. The achieved degree of completeness suggests that such a setup could be used to support automated vehicles to a substantial extent.