Andy is driving to work along his normal route, down Forbes avenue through Oakland. \u00a0He is attending to the road but he is in autopilot, it is early in the morning and he has made this commute hundreds of times. \u00a0He turns onto Bellefield then makes a left on Fifth Avenue. \u00a0His car is alone in the left lane clear to the intersection at Bouquet, where the light is red. \u00a0He begins to slow down 100 yards away when the light turns green.<\/p>\n
<\/p>\n
Andy accelerates to pass the bus (shown below in orange) when a man steps out in front of the bus, 15 feet in front of his car. \u00a0The car comes to an immediate halt as the pedestrian freezes in the intersection. \u00a0Andy\u2019s car is 2 feet from the man, but his foot didn\u2019t reach the brake until the car was 5 feet away. \u00a0As he breathes a sigh of relief, Andy wonders why his car stopped\u2026<\/p>\n
<\/p>\n
5 seconds earlier, when Andy was approaching the intersection, his car\u2019s computer had made a wireless connection with a LIDAR system monitoring the Fifth Avenue-Bouquet intersection. \u00a0The system continuously detects vehicles, pedestrians, and other moving objects in the vicinity of the intersection. \u00a0This system is the blue puck with red bar displayed at the top of the schematic.<\/p>\n
<\/p>\n
2 seconds earlier, a man had jumped out of the bus and made a quick turn in front, hoping to cross the street before the light turned. \u00a0The LIDAR system had tracked the man\u2019s movements and predicted that his path would move in front of Andy\u2019s car. \u00a0The system instantaneously sent a signal to his car\u2019s computer, alerting its obstacle avoidance system to the pedestrian about to be in front of the car.<\/p>\n
<\/p>\n
4 tenths of a second earlier, Andy\u2019s car had automatically braked, 1 tenth of a second before Andy had a view of the man and 3 tenths of a second before he could have applied the brakes. \u00a0Thanks to the LIDAR system that monitors the intersection, Andy\u2019s car avoided an accident that neither he nor his car would have been able to prevent on their own. \u00a0The entire situation is depicted in a simplified form below.<\/p>\n
<\/p>\n
![\"\"](\"http:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-content\/uploads\/sites\/26\/2017\/11\/System-Graphical-Representation.png\")
<\/p>\n","protected":false},"excerpt":{"rendered":"
Use Case: Andy is driving to work along his normal route, down Forbes avenue through Oakland. \u00a0He is attending to the road but he is in autopilot, it is early in the morning and he has made this commute hundreds of times. \u00a0He turns onto Bellefield then makes a left on Fifth Avenue.
+ Read More<\/a><\/p>\n","protected":false},"author":116,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-180","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/pages\/180","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/users\/116"}],"replies":[{"embeddable":true,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/comments?post=180"}],"version-history":[{"count":4,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/pages\/180\/revisions"}],"predecessor-version":[{"id":224,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/pages\/180\/revisions\/224"}],"wp:attachment":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/media?parent=180"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}