Company Filing History:
Years Active: 2025
Title: Silas Ulander: Innovator in 3D Lane Detection Technology
Introduction
Silas Ulander is a notable inventor based in Lerum, Sweden. He has made significant contributions to the field of automotive technology, particularly in the area of 3D lane detection. His innovative approach utilizes artificial neural networks to enhance the accuracy and efficiency of lane detection systems.
Latest Patents
Silas Ulander holds a patent for a method titled "Training of 3D lane detection models for automotive applications." This invention focuses on training artificial neural networks configured for 3D lane detection using unlabelled image data from cameras. The method involves generating sets of 3D lane boundaries in different coordinate systems, transforming these boundaries based on positional data, and evaluating them to find matching lane pairs. This process ultimately updates the model parameters of the neural network based on a spatio-temporal consistency loss, improving the system's performance.
Career Highlights
Silas Ulander is currently employed at Zenseact AB, a company dedicated to advancing automotive safety and automation technologies. His work at Zenseact has positioned him as a key player in the development of innovative solutions for the automotive industry.
Collaborations
Silas collaborates with talented individuals such as Mina Alibeiginabi and Erik Brorsson. Their combined expertise contributes to the success of projects at Zenseact AB.
Conclusion
Silas Ulander is a pioneering inventor whose work in 3D lane detection technology is shaping the future of automotive applications. His contributions are vital for enhancing road safety and advancing autonomous driving technologies.