AutoTech Council: On the Ground 2017
AutoTech Council: On the Ground 2017
110-199 Technology Drive
Milpitas, CA 95035
“First you get the maps; Then, you get the power; Then you get the autonomous car.”
If Al Pacino’s Scarface had been analyzing the Automobile and Mobility industry, he surely would have said the above. Maps have progressed from rudimentary scrolls, through detailed geographically accurate versions, and through multi-layered computerized GIS systems. Meanwhile the demand for good maps in Transportation have moved well beyond a pretty display and turn-by-turn directions in a four-inch console SatNav display. Centimeter-level detail, fleet learning, z-axis information, and a “living map” is the new standard.
Mapping is one of three critically important and slightly redundant modeling tools used to enable self-driving cars:
– Sensors that read the world around the car and offer a 3D model
– V2V and V2I support that communicates real-time real-world data to the car
– Maps, which offer an historic model of the world around the car
These three systems offer some overlap, and fused together, give the AI in the car the ability to fuse together the knowledge, build a highly reliable final 3D model of the world around it right now, and thus make good choices on how to proceed through that model. Of course, it’s also true that maps are the essential input for autonomous vehicles to be able to plan the routes that they will take to reach their destinations. For these reasons, the Autotech Council wants to take a good look at the map, and see what’s developing. If we’re to become legend, we’ve got to look at the scale of these changes. You should come to our entire meeting to see all the layers of information, and not just choose à la carte.
Director of Marketing, Western Digital
Storage solutions enable edge computing for autonomous vehicles
While some tech applications, such as mobile or personal computing, have started to flatten out, the semiconductor industry has seen dramatic growth in the automotive space over the past few years. Many of the big players are focusing their attention on the nascent semiconductor market, thanks to tech like the Internet of Things, as seen in the recent move by Qualcomm Technologies Inc. to acquire NXP Semiconductors N.V., a strong player in automotive controllers. Read the full blog post with highlights from his interview at SiliconANGLE.com.
CEO & Founder, PEGAZA
Data from self-driving cars enables new applications for smart cities
As mapping, navigation and sensor tech for autonomous vehicles continues to advance and support real-time communication between humans, machines and sensors, the data garnered from these systems can have far-reaching impact, including for smart cities, according to Mirko Kerschbaum, founder and chief executive officer of Pegaza, an automotive technology consulting company helping connect companies in Silicon Valley. Read the full blog post with highlights from his interview at SiliconANGLE.com.
Founder and Chairman, Autotech Council
Linking car makers with disruptive technology
The massive growth in computing power and data science coupled with diminishing infrastructure costs is disrupting the traditional methods of innovation in the automotive industry. The Autotech Council — created to enable better innovation in the auto industry get to market faster — is helping bridge the gap between disruptive technology startups and car-makers from around the world. Read the full blog post with highlights from his interview at SiliconANGLE.com.
Smart cities share data to enhance autonomous vehicle capabilities
Smart cities are playing a big part in aiding the growth of self-driving cars by providing additional sensor data to enhance vehicle safety and navigation. In order to facilitate the transfer of information from the smart cities to data consumers, Christian Kotscher (pictured), founder and chief executive officer of MetroTech Net Inc., started a company that is building a real-time traffic data exchange. Read the full blog post with highlights from his interview at SiliconANGLE.com.
VP Corporate Strategy & Innovation, Western Digital
Flash memory technology enhances self-driving car data solvency, says Western Digital
Many different technology trends are converging at the forefront of autonomous vehicle control, including mapping technologies, mapping and sensor technology advancements, and flash memory technology. And each aspect of innovation plays a critical piece to the puzzle, according to Colm Lysaght, vice president of corporate strategy and innovation at Western Digital Corp. Read the full blog post with highlights from his interview at SiliconANGLE.com.
Strategic Marketing Manager, TomTom Maps
TomTom reveals shifting paradigm in mapping technology as autonomous vehicle trends evolve
The fast pace of technology innovation forces companies of all types to constantly shift their strategies and roadmaps in anticipation of market needs. The proliferation of autonomous vehicles has had this effect on a number of players across industries from computing, to data storage, to software and connectivity companies. Read the full blog post with highlights from his interview at SiliconANGLE.com.
President, Increment P North America
Japanese industries collaborate on self-driving car ambitions for 2020 Tokyo Olympics
As the Japanese economy struggles to remain competitive in the existing consumer electronics market, its leaders are turning their eyes toward the future of autonomous vehicles and robotic technologies as a source of innovation and growth, including showcasing self-driving vehicles at the upcoming 2020 Olympics. Read the full blog post with highlights from his interview at SiliconANGLE.com.
CEO, Civil Maps
Cognition for cars: Making sense of sensor data helps autonomous cars make better decisions
Autonomous vehicles are tasked with the tall order of exceeding the performance of all human drivers, all of the time. The systems designed to manage an autonomous vehicle are growing ever more complex as a myriad of new sensors come online and the available computing power to process the data generated grows exponentially. One unique startup is positioned to provide that cognitive layer that helps cars process the data to improve it’s performance. Read the full blog post with highlights from his interview at SiliconANGLE.com.
Marketing Manager, Velodyne LiDAR
Laser-based sensors for autonomous vehicles continue to evolve
As the battle amongst optical sensor technology providers rages on in the self-driving car market, general trends are starting to form within the industry. Laser-based Lidar systems (light detection and ranging) have historically been viewed as the gold standard for mapping resolution, but they are also known to be far more expensive than competing technologies. Yet the tech is evolving, according to Jeff Wuendry, marketing manager at Velodyne LiDAR Inc. Read the full blog post with highlights from his interview at SiliconANGLE.com.