Hubertus Franciscus Cornelis Hendrikx
Papers
2
Total Citations
17
H-Index
2
About
Hubertus Franciscus Cornelis Hendrikx is a leading researcher in autonomous systems, with a core focus on high-speed robotics, LiDAR-based perception, and robust simultaneous localization and mapping (SLAM). His most impactful work centers on pushing the boundaries of autonomous racing, exemplified by his 2020 paper "AMZ Driverless: The full autonomous racing system" (11 citations), which details a complete software stack designed for robustness and reliability at racing speeds. This work demonstrates his ability to integrate perception, planning, and control in extreme, real-time environments. Hendrikx further addresses a critical challenge in real-world robotics with his 2021 paper "Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data" (6 citations), where he tackles the problem of moving objects degrading SLAM performance. His innovative solution automatically generates training data to enable the system to ignore dynamic elements like cars and pedestrians, significantly improving localization accuracy in crowded spaces. By bridging the gap between controlled racing and unpredictable public environments, Hendrikx’s contributions are foundational for deploying safe, high-performance autonomous vehicles in complex, dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1AMZ Driverless: The full autonomous racing system11 citations · 2020
- 2