{"id":883,"date":"2016-05-06T19:21:32","date_gmt":"2016-05-06T23:21:32","guid":{"rendered":"http:\/\/mrsdprojects.ri.cmu.edu\/2015teami\/?page_id=883"},"modified":"2016-05-08T07:29:12","modified_gmt":"2016-05-08T11:29:12","slug":"project-description","status":"publish","type":"page","link":"https:\/\/mrsdprojects.ri.cmu.edu\/2015teami\/project-description\/","title":{"rendered":"Project Description"},"content":{"rendered":"

Project Description<\/h1>\n

The imminent arrival of driverless cars has led to an increased focus on the development of an ecosystem that supports them. \u00a0This project, \u201cAuto-Park for Social Robots\u201d, aims at developing an autonomous system for collaboratively parking driverless cars.<\/p>\n

The motivation for the project stems from key factors affecting the current parking system, such as poor parking safety standards, parking industry growth potential, and a competitive advantage of developing such a system. \u00a0According to reports by Fayard and Stark, around 20% of all automobile accidents occur inside parking lots. \u00a0About 90% of the people involved in these accidents are injured. \u00a0The parking industry is worth $25-$30 billion and has potential to invest in upgrades. \u00a0It regularly bleeds money to accident insurance claims, as well as public transportation due to people that take the bus rather than find a spot in a congested lot. \u00a0The precious time wasted while searching for a parking spot, translated into lost revenue, is also a motivation behind the project.<\/p>\n

This project consists of two distinct systems:
\n1) A physical system<\/b> which consists of a scaled-down version of a car (mobile platform) that would be able to receive a \u201cPark\u201d command from the user\u2019s Android app, localize itself in a parking lot, collaborate with other cars to identify the best possible parking spot, navigate to the spot, and avoid any obstacles in the process. \u00a0The vehicle would relay its status to the user\u2019s app at specific times. \u00a0Upon receiving the \u201cReturn\u201d command, the vehicle would then exit the parking spot and navigate to the parking lot exit. \u00a0The main focus is on establishing a robust system for effective collaboration between vehicles.<\/p>\n

2) A simulation system<\/b> which helps in showcasing the potential benefits of implementing such a collaborative system at a large scale in terms of saving time for the user. Various optimization techniques are employed to efficiently plan and schedule the parking of large number of vehicles with collaboration and data sharing between vehicles as a central theme.<\/p>\n

\"Entering<\/a>

Entering Parking Lot<\/p><\/div>\n

\"Choosing

Choosing Optimal Spot<\/p><\/div>\n

\"Exiting<\/a>

Exiting Spot and Lot<\/p><\/div>\n

 <\/p>\n

<\/a>Keywords<\/h2>\n