Tom Bruls

Papers

Total Citations

H-Index

About

Tom Bruls is a researcher whose work focuses on advancing perception systems for autonomous vehicles, particularly in challenging real-world conditions. His key research areas include computer vision, inverse perspective mapping, and robust perception under adverse weather. Bruls made a notable contribution with his paper "The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping" (2019, 4 citations), where he developed an enhanced method for transforming front-facing camera images into bird's-eye views—a critical step for tasks like road marking detection, object tracking, and path planning in self-driving cars. His innovative approach improved the accuracy and utility of Inverse Perspective Mapping (IPM) for autonomous navigation. In another significant work, "Rainy screens: Collecting rainy datasets, indoors" (2020, 3 citations), Bruls tackled the persistent challenge of gathering high-quality training data for adverse weather conditions. He introduced a simple yet effective method using high-resolution screens to generate diverse rainy imagery, enabling more robust training of perception models without the logistical difficulties of outdoor data collection. Though early in his career, Bruls's practical, problem-solving approach to autonomous vehicle perception has already demonstrated meaningful impact.