What will you speak about at VECS 2023?
At VECS 2023 I will describe how software-defined vehicles allow for faster traffic safety improvements. By probing data from consumer vehicles, we can learn how people use active safety features, and how and where these features impact traffic safety. With this understanding we can adapt the software and update the vehicles in order to speed up the trend towards zero collisions.
How can we increase speed in software development?
The speed of software development is increased through automation. We are building and testing software continuously such that we can hit the road with a new software release every single day. At Zenseact we have taken all software development for active safety systems in-house, from computer vision to vehicle control, in order to have these fast iteration loops.
What are the latest innovations in this area?
Deep learning has revolutionized the perception capability of the vehicle. We have built an infrastructure that allows us to deploy neural nets at an industrial scale, e.g. through our GPU farm, data pipelines and data centers. We have shown that we now can quickly improve e.g. computer vision algorithms, by collecting and annotating relevant data. Based on this we foresee a huge performance improvement when we apply this to data collected from consumer vehicles around the world.
What new architecture tradeoffs are in focus?
There is the obvious trend towards more centralized compute where significantly more memory and computing power is available, as compared to older vehicles. In addition, redundancy of compute and actuation are important when moving to unsupervised technology.
Looking at the mobility race, do you think the tech giants and new entrants will dominate the scene, or can the established OEMs and their suppliers take advantage and create a new position in the eco system?
The race is still open. Winners will be the players that can quickly make the move toward software defined vehicles. It is about being able to build active safety and self-driving vehicle tech, being able to deploy it at scale and being able to update software regularly to grow customer value.