Wearable AR System for Real-Time Pedestrian Conflict Alerts Using Live Roadside Data

Pedestrian safety is increasingly becoming a major concern within and around intersections. This paper outlines a novel approach to enhancing pedestrian safety using a wearable augmented reality (AR) system integrated with live roadside light detection and range (LiDAR) sensor data. The proposed system aims to provide real-time and spatially located warnings to pedestrians, thereby helping them proactively evade potential accidents. The system architecture is built to lessen the burden on edge devices, such as the AR headset itself, and ensure that most of the processor-heavy computations are performed within the server. The effectiveness of this system has been demonstrated and evaluated through various tests, including latency measurements. Point cloud accuracy measurements were recorded with an average offset of approximately 0.73 inches between a conflicting vehicle’s actual location and the visualized object location through AR. This paper also discusses the potential of this system with respect to vehicle-to-vehicle (V2V) systems and other societal benefits.