Last calendar month , a fomite posterior - ended one of Google ’s ego - drive gondola at a Mountain View intersection . No one was hurt , but Google did n’t just broadcast the word to the public . Now , anyone will be capable todownload monthly reportsabout where the cars are and what they ’re doing , thanks to a new transparency initiative from Google .
The call for Google to make ordered , elaborated public reports about its autonomous vehicles has ring loudly in the last few week , including apersuasive supplication by our colleagues at Jalopnik . After some high - visibility crashes werereported by the Associated Press , Google’sChris Urmson wrote an essay on Mediumthat deal some data and findings — but not all .
https://jalopnik.com/google-needs-to-come-clean-about-its-self-driving-car-c-1703686176
In ashareholder call today , Google atomic number 27 - founder Sergey Brin announce a new website where collapse report will be file on an ongoing basis alongside more information about the broadcast and its team . There are new picture , anFAQ , even aplace to file a complaintabout a car if you did n’t like something it did . ( You know the “ How ’s My Driving ? ” telephone set numbers on the back of deliverance trucks ? It ’s like an update translation of that . )
While this is all a antic step forward for transparency , it ’s also some very chic atomic number 59 for the self - driving cars , too . While they ’re endearing when parked , they might still seem a turn menacing and cryptic for some citizenry when they ’re on the street . For the first time , Google is really seek to excuse what they ’re doing with the computer programme in a path that the general world can understand .
So what actually happened to Google ’s cars on the streets last month ? Here are some of the most interesting point from theMay report , which also includes data since the program was founded six years ago . permit us roll in the hay if you see anything else notable in the study we might have miss !
Autonomous modality : 1,011,338 miles since 2009 ( software is driving the fomite , and safety drivers are not touching the manual controls )
Manual mode : 796,250 miles since 2009 ( safety drivers are drive the cars )
presently averaging ~10,000 self-directed nautical mile per week on public streets
23 Lexus RX450h SUVs : Currently ego - driving on public streets , mainly Mountain View , CA
9 prototypes : Currently ego - drive on closed test tracks
12 minor fortuity since 2009 , not includingone that pass just this week . “ Not once was the self - driving car the cause of the accident , ” arrogate Google .
Most of the crashes are from other auto back end - terminate Google ’s car .
The only reported crash that appears to have been Google ’s flaw : “ A Google Prius mannequin AV operating in manual mode was involved in an chance event on Charleston Road in Mountain View , CA . An employee operating the Google AV to run an errand ( i.e. , he was not using the fomite to test our autonomous technology ) tail end - ended a vehicle that was stopped in dealings . No injury were reported at the vista . The Google AV sustained some scathe . ”
The latest clangor : “ A Google Lexus model AV was go southbound on Shoreline Boulevard in Mountain View in self-reliant mode and was stopped behind traffic at a red light at the Cartesian product of Shoreline Boulevard and El Camino Real . A vehicle approaching from behind collided with the rear bumper and sensor of the Google AV . The approximative speed of the other fomite at the time of impact was 1 MPH . There were no injuries report at the scenery by either party . The Google AV hold minor damage to its rear detector and bumper . There was no visible damage to the other vehicle . ”
In a section title “ Interesting Situation of the Month , ” Google claims its self - driving gondola was capable to see two cyclists at nighttime better than a human driver : “ The bicyclist on the leftfield had recruit the left over bit lane , but cut back into our route to continue straight across the crossing . At the same time , the cyclist on the rightfulness entered the intersection , traveling against the flow of traffic . That cyclist then train a sudden left turn , add up directly at us in our lane . Our car was able to prognosticate that cyclist ’s path of travel , so we stopped and yielded . This materialize at nighttime , when it would have been very difficult for a human number one wood to see what was unfold . ”
you’re able to read thewhole report here , and be sure to mark off outGoogle ’s land site .
[ Google Self - Driving Car ProjectviaUSA Today ]
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