automotive

CES 2019 Cools on Self-Driving; Digital Cockpits, V2X & In-Vehicle Shopping Drive Mobility Market Each year global automakers, component manufacturers and tech companies flock to Las Vegas to promote their visions of future mobility at the annual Consumer Electronics Show (CES). Consulting firm McKinsey & Company defines mobility as “the market that includes public and private passenger transport as well as the transportation of goods” It’s a huge and diverse arena, where AI and 5G are disrupting established industries... [Lire la suite]

                We are pleased to announce that epicnpoc is now part of the MOVEO Groupement ADAS. epicnpoc transforms our clients user-experience concepts into future products by empowering their innovation capabilities with a manageable technology ecosystem in order to create comprehensive and easy to communicate demonstrations based on robust and capitalizable software architecture                        ... [Lire la suite]

Artificial intelligence as auto companies’ new engine of value What opportunities does AI open up for mobility, and how can OEMs capture them in the short and long run? For more than two years now, the automotive industry has been talking about four disruptive and mutually reinforcing major trends—autonomous driving, connectivity, electrification, and shared mobility. These trends are expected to fuel growth within the market for mobility, change the rules of the mobility sector, and lead to a shift from traditional to... [Lire la suite]

Monetizing car data Cars generate data about how they are used, where they are, and who is behind the wheel. With greater proliferation of shared mobility, progress in powertrain electrification, car autonomy, and vehicle connectivity, the amount of data from vehicles will grow exponentially, raising a key question: How might industry players in the evolving automotive ecosystem turn car-generated data into valuable products and services? Through a comprehensive course of research – comprised of surveys, interviews, and observations... [Lire la suite]

Top 5 Digital Transformation Trends in Insurance This week, I’m continuing the series looking at digital transformation trends in different industries like healthcare, retail, finance, media and entertainment, education, government, and automotive. It’s true that digital transformation is revolutionizing every industry we can imagine — but some are moving faster than others. Case in point: the insurance industry. Truth be told, the insurance industry has never been much of a leader when it comes... [Lire la suite]

46 Corporations Working On Autonomous Vehicles Beyond trendy names like Tesla and Alphabet chasing self-driving cars, a host of auto brands and other tech heavyweights are also investing in autonomous R&D. Private companies working in auto tech are attracting record levels of deals and funding, with autonomous driving startups leading the charge. Along with early-stage startups, VCs, and other investors, large corporations are also angling to get a slice of the self-driving pie. Using CB Insights’ investment,... [Lire la suite]

FREE SPACE DETECTION BY CAMERA ON REAL WORLD AREAS NEAR PARIS WITH POOR QUALITY OF BITUMEN ON THE ROAD : CRACKS, PATCHES, ...   Some companies try to detect freespace with a regular camera, without IR (SWIR etc …), without fusion with LIDAR, just because it allows low cost applications especially for aftermarket. Here is an example of the NEXYAD module RoadNex. One can see that there are a lot of cracks, patches (highlights and dark zones), and that RoadNex still detects free space in front of the car. Especially useful in... [Lire la suite]

‘Explainable Artificial Intelligence’: Cracking open the black box of AI At a demonstration of Amazon Web Services' new artificial intelligence image recognition tool last week, the deep learning analysis calculated with near certainty that a photo of speaker Glenn Gore depicted a potted plant. “It is very clever, it can do some amazing things but it needs a lot of hand holding still. AI is almost like a toddler. They can do some pretty cool things, sometimes they can cause a fair bit of trouble,” said AWS’ chief architect in his... [Lire la suite]

DEEP LEARNING FOR AUTOMOTIVE - A HETEROGENEOUS APPROACH The Artificial Intelligence is revolutionizing our world. Exponential growth in processing power in silicon and simultaneous reduction in its cost has created a new class of embedded technologies that have built-in Convolutional Neural Networks (CNNs). The CNN architecture is inspired by the neurons of the human brain. This is also known as ‘Deep Learning’, essentially because, layers of ‘Deep Neural Networks’ are trained using data sets from the real world. The ultimate goal... [Lire la suite]

How Blockchain* May Disrupt the Automotive Industry An Insider’s View • Data usage • Market mechanics • Cooperation models This article presents blockchain as an alternative of monopole from GAFAs Read more : https://blockchainevent.fr/documents/2018/slides/bcp18-conf-j2-11h40-boch.pdf