Sensors, mapping, navigation, Artificial Intelligence, and more. What are the latest innovations in transportation made possible by data, and is the future fully autonomous? Automotive industry leaders share their thoughts.
Live Interviews with Automotive Industry Tech Leaders
We teamed up with SiliconAngle Media’s theCUBE to get to the heart of what’s driving auto tech at the Autotech Council’s Innovation in Motion Mapping and Navigation event. TheCUBE sat down with both automotive veterans, as well as innovative start-ups, to understand the state of the industry and the speed of innovation paving the path to autonomy.
Hear why Derek Kerton, Managing Partner of The Kerton Group, founded the Autotech Council. Kerton moderated the event which included lively discussions around hot topics in automotive.
The Road to Autonomy
The automotive industry is being fundamentally disrupted, according to Colm Lysaght, VP Corporate Strategy & Innovation at Western Digital. Data and technologies driving toward autonomous cars are causing a huge shift in the industry.
The consensus among attendees is that fully autonomous cars will be here by 2025. Semi-autonomous cars will be more common by 2020. Attendees agreed the most “turbulence” will occur during the transition period where both self-driving and human-driven cars share the road.
As we near the intersection of semi-autonomous and fully autonomous vehicles, cars equipped with Artificial Intelligence (AI) and Machine Learning (ML) onboard will be better equipped to make smarter decisions.
Data is a Two Way Street
Experts discuss how it’s important to not just inform drivers on data pertaining to navigation, traffic, etc. but to also inform cars as we move towards autonomy.
It’s no longer just about getting from point A to point B. Just ask Arnold Meijer, Strategic Marketing Manager at TomTom Maps
The Great Debate: Maps vs. Sensors
To make cars autonomous, increasingly accurate maps and sensors help self-driving cars know where they’re going. Sensors are the “eyes and ears” of a car that tell what’s around a car at a given point in time. Maps provide context so that you can see what’s ahead and how to best navigate to a destination.
So, what is the best route to autonomy—maps or sensors?
Traditional static maps are being replaced with ones with aggregated layers of what lies ahead. Andy Parsons, President of Increment P North America, shares how automotive companies in Japan are building HD maps (also known as “dynamic” maps in Japan) for L3 autonomy at the 2020 Tokyo Olympic games.
Sensors collect “Where am I?” data in cars, says Jeff Wuendry, Marketing Manager at Velodyne LiDAR.
And what about “sensor fusion” and cognition to give cars the data they need to be safe? Sravan Puttagunta, CEO of Civil Maps, explains.
Between maps and sensors, the general consensus is that both are critical. While sensors provide a stream of real-time information, maps provide historical data to guide successful navigation.
The next question is: where do we store all of this map and sensor data?
Storing Data at the Edge or in the Cloud?
Considerations for storing data onboard at the edge versus on the cloud include costs, customer experience, and safety.
Martin Booth, Director of Marketing at Western Digital, explains how processing needs to take place both at the edge and in the cloud, for humans and cars to make real-time decisions that keep passengers safe.
As Colm Lysaght of Western Digital puts it, “There’s a need for local storage, so that you get the right data at the right time, ahead of time.”
LOTS of Data is Needed to Drive Cars of the Future
There’s no question lots of storage is required to drive autonomous vehicles. Mirko Kerschbaum, CEO and Founder of PEGAZA, shares how technologies from other verticals are now being incorporated into the car—creating more streams of data to increase passenger safety.
1 TB a Day Keeps Cars on the Roadway
It is expected that a single autonomous car will have up to 1 TB of storage per car per day by 2022*. Whether it’s stored in the car or sent to the cloud for historical analysis, data is what enables autonomous vehicles to have safe and reliable operations.
Christian Kotscher, CEO of MetroTech, talks about big data for traffic and how to make sense of sensors for real-time traffic data.
The Autotech Council unites automotive companies driving innovation in transportation. Learn more about the important role of data in the age of autonomous vehicles.