Novel Techniques for Hijacking Self-Driving Cars

Dr. Franklin De Santa1, and Trevor Phillips2

1 Department of Street Technology, Cranberry-Lemon University, Pittsburgh, PA, USA

2 Leader of the Master Thieves Heist Guild


The car theft business has been an integral part of the American automotive industry for decades. If it weren’t for widespread grand theft auto and stereo theft, we’d all still be driving reliable cars such as 90’s Toyota Camrys or 00’s Honda CR-V’s. While many fear that the advances in cyber and physical security in newer vehicles may be the end of the theft driven auto industry of inner cities across America, new techniques have been shown to make state of the art self-driving cars even easier to hijack, capture and sell for a profit than their outdated counterparts. The new technology has even driven higher demand for the products from modern chop shops than ever before. This paper will outline methods to confuse, disable and take advantage of the state of the art algorithms and sensors modern autonomous vehicles are now equipped with to revitalize the domestic car-jacking economy. 

Keywords: Self-Driving Cars, Image Classification, Autonomous Systems, Machine-Learning, Animal Behavior

Rest of the article coming to a print book soon by Packt Publishing! I don’t know how soon yet. Please follow us on our socials or come back later for the release date and the link to the amazon link to the book. It’ll actually edited by someone other than myself! I’ve sold out to the publishers, sorry not sorry, still gonna post new articles.

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Published by B McGraw

B McGraw has lived a long and successful professional life as a software developer and researcher. After completing his BS in spaghetti coding at the department of the dark arts at Cranberry Lemon in 2005 he wasted no time in getting a masters in debugging by print statement in 2008 and obtaining his PhD with research in screwing up repos on Github in 2014. That's when he could finally get paid. In 2018 B McGraw finally made the big step of defaulting on his student loans and began advancing his career by adding his name on other people's research papers after finding one grammatical mistake in the Peer Review process.

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