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Tesla and Autonomous Driving: What is Autopilot?

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Over the years, the vehicles we rely on each day have grown increasingly more impressive, thanks to safety-enhancing advances in cameras, GPS, and more. As automobile manufacturers continue to search for solutions that might make vehicles easier to drive, and less dangerous on the roads, there's been a huge surge in research around the concept of "autonomous" driving. Driverless cars are set to transform the world, changing the concept of "road trips" for good, and substantially reducing the risk of accidents. Some reports even suggest that autonomous technology could reduce collisions by 80% by 2040. One of the most compelling pieces of technology leading the way for autonomous driving is the Tesla Autopilot system – an AI-enhanced driving assistance feature that's set to change the way we drive.


Autonomous driving market overview

#artificialintelligence

Autonomous driving is one of the most sought-after market in tech right now. Along other major changes in the automotive industry such as electric vehicles, connected cars, or ridesharing, autonomous driving is at the heart of what is considered to bethe second inflection point of mobility with a promise of a greener, safer, more convenient, and cheaper transportation. Indeed, just like we turned from horses to cars about a 100 years ago, mobility is slowly turning from mechanical transportation machines to supercomputers on wheels; creating a new land of opportunities for outsiders to come in and for balances of power to shift drastically in a trillion dollar automotive industry. "Autonomous driving is at the heart of what is considered the second inflection point of mobility." Since autonomous driving activities kicked off with the DARPA challenge in 2004, the ecosystem became a lot larger and fiercely competitive with OEMs and tier 1 suppliers now joined by internet companies, TELCOs, electronics manufacturers, and a large crowd of startups.


Computer Architectures for Autonomous Driving

IEEE Computer

To enable autonomous driving, a computing stack must simultaneously ensure high performance, consume minimal power, and have low thermal dissipation--all at an acceptable cost. An architecture that matches workload to computing units and implements task time-sharing can meet these requirements.


Samsung to join the autonomous car race

AITopics Original Links

Google may be leading the way in developing its own self-driving car, but more and more tech firms are joining the race to make autonomous vehicles mainstream. Now Samsung has said it is setting up a team to develop a car components business focusing on autonomous driving technology and entertainment systems. And fellow Asian firm, Baidu, has revealed ambitious plans to build autonomous shuttles that could replace older forms of public transport. Samsung has said it is setting up a team to develop a car components business focusing on autonomous driving technology and entertainment systems, which could see it going head-to-head with Apple. Samsung is used to going head-to-head with Apple when it comes to smartphones, and now the two companies look set to compete in developing self-driving technologies.