Niels Balemans
Papers
1
Total Citations
13
H-Index
1
About
Dr. Niels Balemans is a leading researcher in autonomous navigation and sensor fusion, specializing in robust perception for challenging environments. His work focuses on overcoming the limitations of traditional LiDAR and camera systems in harsh conditions—such as dust, fog, or low light—by leveraging ultrasonic sensing. His most cited paper, "Predicting LiDAR Data From Sonar Images" (2021, 13 citations), introduces a novel approach that uses deep learning to reconstruct high-resolution 3D point clouds from sonar data, enabling reliable environmental mapping where conventional sensors fail. This contribution is critical for industrial sectors like mining, construction, and underwater robotics, where accurate sensing is essential for safety and autonomy. Dr. Balemans’ research bridges the gap between cost-effective sonar technology and high-precision LiDAR outputs, offering a practical solution for real-world deployment. His work has been recognized for its potential to advance autonomous navigation in degraded visual environments, making him a key figure in the evolution of resilient perception systems.
Research Focus
Key Achievements
Top Papers
- 1Predicting LiDAR Data From Sonar Images13 citations · 2021