Student Work
Autonomous Pedestrian Detection in Transit Buses
PublicDownloadable Content
open in viewerThis 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
- Publisher
- Identifier
- E-project-031418-232131
- Advisor
- Year
- 2018
- Sponsor
- Date created
- 2018-03-14
- Resource type
- Major
- Rights statement
Relations
- In Collection:
Items
Items
Thumbnail | Title | Visibility | Embargo Release Date | Actions |
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Autobus_MQP_D18.pdf | Public | Download | ||
Autobus_MQP_Code.xpr.zip | Public | Download |
Permanent link to this page: https://digital.wpi.edu/show/0p096873t