Company Filing History:
Years Active: 2025
Title: Innovations of Benjamin Waubert in 3D Lane Detection
Introduction
Benjamin Waubert is an innovative inventor based in Gothenburg, Sweden. He has made significant contributions to the field of automotive technology, particularly in the area of 3D lane detection. His work focuses on enhancing the capabilities of artificial neural networks to improve vehicle navigation and safety.
Latest Patents
Waubert holds a patent for a method titled "Training of 3D lane detection models for automotive applications." This invention relates to a technique for 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 based on images, transforming these boundaries using 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. Waubert's patent is a testament to his innovative approach in utilizing advanced technology for practical applications in the automotive industry. He has 1 patent to his name.
Career Highlights
Waubert is currently employed at Zenseact AB, a company that specializes in developing software for autonomous driving. His role involves leveraging his expertise in machine learning and computer vision to create solutions that enhance vehicle safety and navigation. His contributions to the field have positioned him as a notable figure in automotive innovation.
Collaborations
Waubert collaborates with talented individuals such as Mina Alibeiginabi and Erik Brorsson. Together, they work on advancing the technology behind autonomous vehicles, focusing on improving the accuracy and reliability of lane detection systems.
Conclusion
Benjamin Waubert's work in 3D lane detection represents a significant advancement in automotive technology. His innovative methods and collaboration with skilled professionals contribute to the ongoing evolution of autonomous driving solutions. His contributions are paving the way for safer and more efficient transportation systems.