Detecting stalled or slow-moving vehicles at night by Optical Sensing - a feasibility study

Abstract

In developing countries and areas without adequate infrastructure, a system that can work towards automobile accident reduction without heavy infrastructural dependence or in-vehicle installation will have a shorter implementation time and thereby function sooner. Road studs are a common feature used for road delineation at night. Incorporating intelligence into road studs to detect stalled or slowly-moving vehicles can greatly reduce fatal night car accidents, which have a much higher frequency rate than those occurring during the day. This research aims at investigating its feasibility through optical sensing.