{"id":455,"date":"2018-05-07T17:54:23","date_gmt":"2018-05-07T17:54:23","guid":{"rendered":"http:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/?page_id=455"},"modified":"2018-05-11T18:09:36","modified_gmt":"2018-05-11T18:09:36","slug":"spring-validation-performance","status":"publish","type":"page","link":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/spring-validation-performance\/","title":{"rendered":"Spring Validation Performance"},"content":{"rendered":"

Spring Semester Requirements<\/h2>\n\n\n\n\n\n\n\n\n
M.P.1<\/span><\/td>\nDetection<\/span><\/td>\nDetect up to 3 pedestrian centroids with Euclidean distance error < 0.3m<\/span><\/td>\n<\/tr>\n
M.P.2<\/span><\/td>\nTracking<\/span><\/td>\nTrack up to 3 pedestrians within 20m of the infrastructure<\/span><\/td>\n<\/tr>\n
M.P.3<\/span><\/td>\nPrediction<\/span><\/td>\nPredict up to 3 pedestrians\u2019 trajectories 1.2 seconds* into the future with an average error of 0.5m<\/span><\/td>\n<\/tr>\n
M.P.4<\/span><\/td>\nCycle Time<\/span><\/td>\nTime between first frame with a pedestrian to first published trajectory should be less than 0.5 seconds.<\/span><\/td>\n<\/tr>\n
<\/td>\n<\/td>\nVEHICLE:<\/b><\/td>\n<\/tr>\n
M.P.5<\/span><\/td>\nVehicle<\/span><\/td>\nAlert driver to stop short of intersection with approaching pedestrian >1.2 seconds* ahead of entry to intersection.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

 <\/p>\n

Spring Validation Experiment Results<\/h2>\n

 <\/p>\n\n\n\n\n\n\n\n\n
\n

SVE Test<\/span><\/h4>\n<\/td>\n

\n

Quantitative Performance<\/span><\/h4>\n<\/td>\n<\/tr>\n

Detection Accuracy<\/span><\/td>\n0.12m<\/span><\/td>\n<\/tr>\n
Tracking Consistency<\/span><\/td>\nContinuous tracking<\/span><\/td>\n<\/tr>\n
Pedestrian trajectory prediction<\/span><\/td>\n0.2745m<\/span><\/td>\n<\/tr>\n
Cycle Time<\/span><\/td>\n0.24s<\/span><\/td>\n<\/tr>\n
Vehicle Collision Avoidance Success Rate<\/span><\/td>\n100%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Use this link<\/a> to see a video of the final system test from the driver’s point of view.<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Spring Semester Requirements M.P.1 Detection Detect up to 3 pedestrian centroids with Euclidean distance error < 0.3m M.P.2 Tracking Track up to 3 pedestrians within 20m of the infrastructure M.P.3 Prediction Predict up to 3 pedestrians\u2019 trajectories 1.2 seconds* into the future with an average error of 0.5m M.P.4 Cycle Time Time between first frame
+ 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-455","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/pages\/455","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=455"}],"version-history":[{"count":8,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/pages\/455\/revisions"}],"predecessor-version":[{"id":532,"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/pages\/455\/revisions\/532"}],"wp:attachment":[{"href":"https:\/\/mrsdprojects.ri.cmu.edu\/2017teame\/wp-json\/wp\/v2\/media?parent=455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}