Google Inc (NASDAQ:GOOG) Trying To Blur The Line Between Driverless And Human Driving


Can you tell a self-driving car on the road from one controlled by a human driver? If you do, Google Inc (NASDAQ:GOOG)(NASDAQ:GOOGL) wants to do away with the difference. The company is working to make its driverless car operate more naturally on the road than they already are.

When it comes to safety, Google Inc (NASDAQ:GOOG)’s self-driving cars have a clean record, but the problem is that they are unnecessarily overcautious. Therefore, Google is getting down to blur the line between self-driving and human driving.

In particular, Google wants to make its driverless cars behave more naturally when cutting corners and when coming to a stop sign. The company also wants to make the cars pause less frequently, which is likely to reduce the problem of rear-ending.

Rear-ending problem

It has been noted that of the 16 minor accidents involving Google cars, 12 of them have involved the cars being rear-ended by human drivers. Part of the explanation of the problem of rear-ending the Google cars has been linked to the cars being more cautious than they are supposed to be.

Distractive programming

Google Inc (NASDAQ:GOOG) programmed its self-driving cars to be as careful as possible, making them brake at even trivial threats on the road, to never cross a double yellow line and to stop completely at a stop sign. However, Google has established that previous programming of its autonomous cars increasingly made them appear unnatural and distracting on the road, sometimes causing problems to human drivers.

Human-like maneuvers

Like humans, Google Inc (NASDAQ:GOOG) wants its driverless cars to be able to make quick, natural decisions on the roads in a manner that someone cannot easily tell that it is a robot behind the wheel.

Google has already started implementing more flexible techniques in its self-driving cars. For example, the cars are now able to cross a double yellow line to get past a slow moving truck or parked cars. Google intends to bake in more human-like maneuvers in its driverless cars to make them better on the road.

Neha Gupta

Neha Gupta has been in the financial space for over six years now. Gupta earned her MBA degree from Symbiosis Centre of Distance Learning in 2009 and her passion for finance led her to pursue Chartered Financial Analyst (CFA) course. She has successfully completed Level II of her CFA. She is a veteran in article writing, which is depicted in her numerous pieces published on SeekingAlpha, Nextiphonenews, InsiderMonkey, MarketWatch, and Techinsider. Her crisp and eloquent writing finds its best place in Researchcows, where emphasis is given on developing rich content for various websites, products, business plans, trainings, and book writing.

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