Evaluation of a Camera-based Infrastructure Accuracy in a Collision Scenario
Year: 2024
Type: conference-paper
Abstract: Accurate detection and localization of objects are key aspects of connected mobility and play pivotal roles in ensuring road safety. In particular, precise localizations are crucial for predicting potential collisions between vehicles and vulnerable road users (VRUs) traversing roadways. This poster presents an evaluation of the accuracy of our camera based roadside infrastructure in the context of collision risk detection. Specifically, our evaluation entails the deployment of two differently oriented cameras capturing a scene where a vehicle and a pedestrian converge towards a common point. By comparing camera-acquired object positions with ground truth data obtained through GNSS RTK-equipped objects, we evaluate the detection sensibility of our system. Through this evaluation, we assess that our infrastructure achieves 60-cm positioning accuracy in real-world scenarios.
Source: HAL
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7205869844