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.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Martinovic, Dario
• Fong, Thomas
• Luga, Franc
• Milliard, Michael Anthony
• Nizam Shaikh, Kazim Hyder
• Sirry, Abdelrahman Moustafa
• Kargbo, Alima
• Trant, Patrick
• Padberg, Michael T

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-031418-232131

Advisor

• Wyglinski, Alexander

Year

• 2018

Sponsor

• TransDev North America

Date created

• 2018-03-14

Resource type

• Major Qualifying Project

Major

• Electrical & Computer Engineering

Rights statement

• In Copyright