|SUBJECT:||M.S. Thesis Presentation|
|TIME:||Tuesday, November 24, 2015, 9:30 a.m.|
|PLACE:||MRDC Building, 4404|
|TITLE:||Enhancement of Parking Spot Detection Using an Affordable Laser Range Sensor|
|COMMITTEE:||Dr. Bert Bras, Co-Chair (ME)
Dr. Seung-Kyum Choi, Co-Chair (ME)
Dr. Roger Jiao (ME)
To gain a better understanding of the impact of parking spaces on traffic congestion, road infrastructure, time spent searching for parking and ultimately CO2 emissions, several parking surveys have been undertaken. Traditionally these surveys were performed by individuals manually logging parking lot information, thus limiting spatial and temporal coverage due to high labor costs. As a result, the need for automating the data collection process for open parking spaces is paramount when one starts looking into using parking lot information in real-time applications and across a large area such as a city, state, or even an entire country. Some studies have been conducted looking into this automation process, such as using ultrasonic sensors, 2D LIDARs, vision sensors, parking lot cameras and sensors for individual parking spots in a lot. Most of these methods generated promising results, but were either expensive or not suitable for real-time processing.