Autonomous pedestrian detection in transit buses.

Fong, T. Kargbo, A. Luga, F. Martinovic, D. Milliard, M. Padberg, M. Nizam Shaikh, K.H. Sirry, A. & Trant, P.

This project created a proof of concept for an automated pedestrian detection and avoidance system designed for transit buses. The system detects objects up to 12 meters away, calculates the distance from the system using a solid-state LIDAR, and determines if that object is human by passive infrared. This triggers a visual and sound warning. A Xilinx Zynq-SoC utilizing programmable logic and an ARM-based processing system drive data fusion, and an external power unit makes it configurable for transit-buses. (Author/publisher)


20210020 ST [electronic version only]

Worcester, MA, Worcester Polytechnic Institute, 2018, XXVI + 236 p., 147 ref.; Project Code MQP-AW1-BUS1

Onze collectie

Deze publicatie behoort tot de overige publicaties die we naast de SWOV-publicaties in onze collectie hebben.