autonomous drive
Machine Learning For Autonomous Drive
Advances in Artificial Intelligence (AI) and Machine Learning (ML) is arguably the biggest technical innovation of the last decade. Although the algorithms for AI have been in existence for many years, the recent explosion of both data as well as faster compute made it possible to apply those algorithms to solve many real life use cases. One of the most prominent of these use cases is fully automated driverless cars. The neural networks, which is a special subfield of AI, play a key role in achieving full autonomous drive. But to drive without human intervention requires a sophisticated framework of sensors to capture not only the vehicle data but also that of the surroundings.
The future of mobility
There is a critically important dialogue going on across the extended global automotive industry about the future evolution of transportation and mobility. This debate is driven by the convergence of a series of industry-changing forces and mega-trends (see figure 1). Innovative technologies are changing how companies develop and build vehicles. Electric and fuel-cell powertrains tend to offer greater propulsion for lower energy investment at lower emission levels.1 New, lightweight materials enable automakers to reduce vehicle weight without sacrificing passenger safety.2 Further breakthroughs are advancing the introduction of autonomous vehicles; increasingly, daily news reports suggest that driverless cars will soon become a commercial reality.3 We have already seen rapid advances in the "connected car--?--innovations that integrate communications technologies and the Internet of Things to provide valuable services to drivers.4
The future of mobility
There is a critically important dialogue going on across the extended global automotive industry about the future evolution of transportation and mobility. This debate is driven by the convergence of a series of industry-changing forces and mega-trends (see figure 1). Innovative technologies are changing how companies develop and build vehicles. Electric and fuel-cell powertrains tend to offer greater propulsion for lower energy investment at lower emission levels.1 New, lightweight materials enable automakers to reduce vehicle weight without sacrificing passenger safety.2 Further breakthroughs are advancing the introduction of autonomous vehicles; increasingly, daily news reports suggest that driverless cars will soon become a commercial reality.3 We have already seen rapid advances in the "connected car"--innovations that integrate communications technologies and the Internet of Things to provide valuable services to drivers.4
AI 'friends' will help you pass the time on autonomous drives
When autonomous cars hit the market, manually driven ones won't suddenly disappear. It'll be decades before self-driving vehicles take over the roads completely. That means the horrible traffic you're already stuck in might get a little better, but not by much. So instead of filling those moments by clutching the steering wheel and wishing death upon other drivers, you'll have a bunch of free time, and that's an opportunity for automakers to grab your eyes and ears. The last thing automakers want is for bored drivers to default to their current time killer: their phone.
AI 'friends' will help you pass the time on autonomous drives
Even more so than last year, CES 2017 was the unofficial auto show for the tech world. Automakers filled the North Hall and the Gold Lot of the Las Vegas Convention Center with self-driving prototypes and concept cars. But instead of talking about the power of Lidar or number-crunching processors, many started focusing on what the hell their passengers will do once they take their hands off the wheel. When autonomous cars hit the market, manually driven ones won't suddenly disappear. It'll be decades before self-driving vehicles take over the roads completely.