28 décembre 2016

Artificial Intelligence Creates Immense Potential for Innovation and Growth in the Car Industry

Artificial Intelligence Creates Immense Potential for Innovation and Growth in the Car Industry LONDON, April 6, 2016 /PRNewswire/ -- Artificial Intelligence (AI) and Digitisation will change the future of cars, challenge traditional business models and create immense potential for innovation. In future, cars will be cognitive – not only will they recognize voices and be able to optimise the journey, they will also incorporate other cognitive technologies of AI - computer vision, machine learning, rules based... [Lire la suite]

27 décembre 2016

Analysing Uber’s market moves – and how it intends to disrupt transport markets

Analysing Uber’s market moves – and how it intends to disrupt transport markets Opinion I am pretty sure that Uber’s announcements over the past couple of years around building a centre of expertise in driverless vehicles did not come as a surprise to anybody interested in these technologies. Though Uber hasn’t clearly mentioned why it would hire a few hundred engineers or buy a startup to support its driverless capability development, as it has done since then, the reason is quite straightforward: replacing more than one... [Lire la suite]
25 décembre 2016

Gartner Says Connected Car Production to Grow Rapidly Over Next Five Years

Gartner Says Connected Car Production to Grow Rapidly Over Next Five Years Connected Cars to Introduce a New Era of Smart Mobility   Connected car production is growing rapidly in both mature and emerging automobile markets, according to the latest forecast by Gartner, Inc. The production of new automobiles equipped with data connectivity, either through a built-in communications module or by a tether to a mobile device, is forecast to reach 12.4 million in 2016 and increase to 61 million in 2020 (see Table 1). Gartner... [Lire la suite]
24 décembre 2016

A start-up born out of Stanford just entered the driverless car race with a radical approach

A start-up born out of Stanford just entered the driverless car race with a radical approach Drive.ai, a start-up born out of Stanford's artificial intelligence lab, has officially entered the driverless car arms race. But Drive.ai has no interest in building an actual, self-driving car. Rather, as co-founder and president Carol Reiley told Business Insider, the start-up plans to sell "the brains of the car." That car brain comes in the form of sensors, LiDAR, and Radar like many other companies are using, but with one... [Lire la suite]
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23 décembre 2016

France’s Navya raises $34M for its self-driving shuttle bus, reportedly at a $220M valuation

France’s Navya raises $34M for its self-driving shuttle bus, reportedly at a $220M valuation When it comes to self-driving cars, the public tends to focus on developments for private vehicles for individuals, but there are also some significant advances underway in other categories such as shuttle busses. In the latest piece of news, Navya, a startup out of France that makes driverless shuttles, has raised $34 million (€30 million) in funding to build out its team, technology and sales. The funding is... [Lire la suite]
22 décembre 2016

Camera Modules Market Worth 36.95 Billion USD by 2020

Camera Modules Market Worth 36.95 Billion USD by 2020 According to a new market research report "Camera Modules Market by Component (Image Sensor, Lens Module), Process (Flip-Chip), Pixel, Application (Consumer Electronics, Security & Surveillance, Automotive, Aerospace & Defense, Industrial), and Geography - Global Forecast to 2020", published by MarketsandMarkets, the total Camera Modules Market is expected to reach USD 36.95 Billion by 2020, growing at a CAGR of 10.8% between 2015 and 2020.   ... [Lire la suite]

21 décembre 2016

Exponential Technology and the Self-Driving Car‏

Exponential Technology and the Self-Driving Car‏ On a crisp autumn day, two sleek Mercedes sedans smoothly joined the flow of traffic on French Autoroute 1 near Paris’ Charles de Gaulle airport. For hours the two vehicles drove along the highway in heavy traffic, passing other cars when necessary. Although no obvious signs distinguished them as unique, close observation would reveal that both were autonomous vehicles, driving themselves with human-level competency. Self-driving vehicle... [Lire la suite]
20 décembre 2016

A start-up born out of Stanford just entered the driverless car race with a radical approach

A start-up born out of Stanford just entered the driverless car race with a radical approach Drive.ai, a start-up born out of Stanford's artificial intelligence lab, has officially entered the driverless car arms race. But Drive.ai has no interest in building an actual, self-driving car. Rather, as co-founder and president Carol Reiley told Business Insider, the start-up plans to sell "the brains of the car." That car brain comes in the form of sensors, LiDAR, and Radar like many other companies are using, but with one... [Lire la suite]
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20 décembre 2016

Data Fusion Strategies in Advanced Driver Assistance Systems

Data Fusion Strategies in Advanced Driver Assistance Systems Data fusion plays a central role in more and more automotive applications, especially for driver assistance systems. On the one hand the process of data fusion combines data and information to estimate or predict states of observed objects. On the other hand data fusion introduces abstraction layers for data description and allows building more flexible and modular systems. The data fusion process can be divided into a low-level processing (tracking and object... [Lire la suite]
19 décembre 2016

Advancing map-enhanced driver assistance systems

Advancing map-enhanced driver assistance systems To enable and/or enhance the functionalities of Advanced Driver Assistance Systems (ADAS), vehicle manufacturers want to access and use the information provided by navigation systems such as map data, vehicle position and speed. Today, however, navigation map databases are only accessible to navigation applications and stored in the proprietary format of the navigation system. In order for ADAS applications to access this data, an appropriate information exchange interface must be... [Lire la suite]