I decided to join the automotive industry because I wanted to learn more about it. I had heard a lot of great things about what vehicles will be like in the future, and working hands-on in the industry is a great way to learn about the future of automotive!
One of the reasons why I like working on autonomous vehicles is because I am working with innovative technology. It means that everything can be further tuned and customized. I enjoy the process of going from proof-of-concept all the way to a completed product. To have the opportunity to have an idea and really push through to production is really exciting.
LiDAR is enabling self-driving cars to become a reality by ensuring that they drive with the least amount of risk to other drivers or those around it. LiDAR is necessary for autonomous vehicles because it reduces the burden of real-time perception and prediction, which is not possible using AI and stereo-cameras alone.
LiDAR is the final sensor modality that is needed to make ADAS systems (and eventually full autonomy) work effectively in all conditions. LiDAR is more deterministic by nature, as it can detect and measure the distance to all objects. And with an agile LiDAR, such as AEye’s iDAR, this can be done incredibly fast with the added ability to classify objects and determine their velocity.
An NPI Engineer is responsible for bringing a product from the engineering sample phase to mass production. At the end of the day, my goal is to deliver a safe, reliable, and cost-efficient product at volume.
I came to AEye from a Tier 1, so I know what goes into developing an automotive grade sensor, and the AEye team is made up of people from all over the automotive industry that have great, diverse insight into how to bring a product to market.
I was part of the microprocessor design team at Intel in the early 2000s. For the second Grand Challenge, Stanford University teamed up with Intel and VW to build the winning car: Stanley. I got involved in the project and, ultimately, in AVs, because I felt that the Grand Challenge was cool and interesting, and a clever and effective way to develop AV technology.
Advanced ADAS solutions and, eventually, fully autonomous vehicles, will be the most important transportation technology innovation event in my lifetime – and I knew that I needed to be a part of it.
AEye has a perspective that we hope the industry will adopt more widely, which is to use biomimicry to focus energy on things that matter.
Autonomous vehicles will spark a radical shift in our society. Not only will it make safer and more efficient public transportation accessible to the masses, it will allow us to have the time to accomplish meaningful tasks which would otherwise be lost to a long commute. Engineers are the leaders in bringing about this societal change.
For the better part of 25 years, I have worked at the intersection of transportation and technology. Starting as a powertrain engineer at Ford Motor Company, and through executive tenures at Flexcar, Zipcar and Silvercar, I have seen the industry begin the most profound, tectonic shift in its 120 year history.
With over 15 years of experience in the automotive industry and another 12 years in technology, I’ve found that the development of autonomous vehicles is the perfect intersection of my experience and interests.