HELLO FOLKS , I AM SUSHIL HERE BACK WITH A QUITE FAMOUS TOPIC THAT IS TRENDING AND BEEN UNDER CONTINUOUS TESTING SINCE ITS BIRTH. 

ITS THE SELF-DRIVING CARS THAT HAS BEEN SO POPULAR EITHER IN THE CONTROVERSY OR THEIR DEVELOPMENT THAT HAVE TAKEN BIRTH AFTER ITS INVENTION 

TODAY I WILL BRIEF ABOUT THE TECH USED AND THE ACTUAL WORKING AND THE INTERFACE USED IN THE CAR.

TECHNOLOGY USED:

The project team has equipped a number of different types of cars with the self-driving equipment, including the Toyota Prius, Audi TT, and Lexus RX450h, Google has also developed their own custom vehicle, which is assembled by Roush Enterprises and uses equipment from Bosch, ZF Lenksysteme, LG, and Continental.

google_driverless_toyota_prius

Google’s robotic cars have about $150,000 in equipment including a $70,000 LIDAR system. The range finder mounted on the top is a Velodyne 64-beam laser. This laser allows the vehicle to generate a detailed 3D map of its environment. The car then takes these generated maps and combines them with high-resolution maps of the world, producing different types of data models that allow it to drive itself.

THIS IMAGE WILL BRIEF YOU ABOUT THE LIDAR SYSTEM USED IN THE GOOGLE SELF-DRIVING CAR.

3dp_selfdrivingcars_sensors_infographic

google-car-self-driving-car-8-638

As of June 2014, the system works with a very high definition inch-precision map of the area the vehicle is expected to use, including how high the traffic lights are; in addition to on-board systems, some computation is performed on remote computer farms.

Making the most of emerging opportunities Sensors, cameras, and more To enable next-generation ADAS— and ultimately realize the promise of self-driving vehicles—cars will need numerous sensors to gather the necessary information about the driver’s constantly changing surroundings and the ability to “fuse” the data (~1gb/sec) from these various sensors in order to make safe decisions. The sensors will be part of a larger constellation of technologies that include light detection and ranging (lidar), radar, advanced camera technologies, and GPS, among others.

Limitations:

As of August 28, 2014, according to Computer World Google’s self-driving cars were in fact unable to use about 99% of US roads. As of the same date, the latest prototype had not been tested in heavy rain or snow due to safety concerns. Because the cars rely primarily on pre-programmed route data, they do not obey temporary traffic lights and, in some situations, revert to a slower “extra cautious” mode in complex unmapped intersections. The vehicle has difficulty identifying when objects, such as trash and light debris, are harmless, causing the vehicle to veer unnecessarily. Additionally, the lidar technology cannot spot some potholes or discern when humans, such as a police officer, are signaling the car to stop. Google projects having these issues fixed by 2020.

THIS CONCEPT HAS BEEN IMPLEMENTED BY VARIOUS COMPANIES SUCH AS UBER ETC. THOUGH THIS CONCEPT HAS NOT BEEN USED IN INDIA FOR OBVIOUS REASONS THAT EVERY INDIAN KNOWS AND MAYBE IS ALSO ASHAMED OF . BUT INTERNATIONALLY IT HAS BEEN USED ON A GOOD SCALE BY COMPANIES AND THIS HAS PROVED TO BE PROFITABLE.

CRASHES:

On February 14, 2016 a Google self-driving car attempted to avoid sandbags blocking its path. During the maneuver it struck a bus. Google addressed the crash, saying “In this case, we clearly bear some responsibility, because if our car hadn’t moved there wouldn’t have been a collision.”Some incomplete video footage of the crash is available. Google characterized the crash as a misunderstanding and a learning experience. The company also stated “This type of misunderstanding happens between human drivers on the road every day.”

As of July 2015, Google’s 23 self-driving cars have been involved in 14 minor collisions on public roads, but Google maintains that, in all cases other than the February 2016 incident, the vehicle itself was not at fault because the cars were either being manually driven or the driver of another vehicle was at fault.

In June 2015, Google founder Sergey Brin confirmed that there had been 12 collisions as of that date, eight of which involved being rear-ended at a stop sign or traffic light, two in which the vehicle was side-swiped by another driver, one of which involved another driver rolling through a stop sign, and one where a Google employee was manually driving the car. In July 2015, three Google employees suffered minor injuries when the self-driving car they were riding in was rear-ended by a car whose driver failed to brake at a traffic light. This was the first time that a self-driving car collision resulted in injuries.

Additionally, Google maintains monthly reports that include any traffic incidents that their self-driving cars have been involved in.

THIS IS THE REAL WAY THAT THESE SELF DRIVING CARS HAVE BEEN EVOLVING IN THE PAST AND THEY MIGHT BRING A CHANGE IN THE INDUSTRY.

HOPE YOU LIKE THIS CONCEPT AND SHARE YOUR IDEAS WITH ME THROUGH THE COMMENT SECTION OR VIA EMAIL. 

SHARE THIS POST IF YOU LIKE IT . THANK YOU .

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