Mohammed Amine Boulahlib
Papers
1
Total Citations
6
H-Index
1
About
Mohammed Amine Boulahlib is a researcher focused on intelligent transportation systems, autonomous vehicle navigation, and computer vision. His work addresses critical challenges in real-time obstacle detection and motion control, particularly for on-road environments. His most cited paper, “A classification of on-road obstacles according to their relative velocities” (2016, 6 citations), introduces a novel image-processing framework that classifies obstacles based on their relative velocities—an essential step before implementing automatic avoidance maneuvers. This contribution helps bridge the gap between raw sensor data and actionable navigation decisions, enhancing the safety and reliability of autonomous driving systems. Boulahlib’s research is foundational for developing robust perception algorithms that enable vehicles to interpret dynamic surroundings. By tackling the problem of obstacle detection and classification, his work supports broader advances in robotics and autonomous vehicle control. His efforts continue to influence the design of smarter, more responsive transportation technologies, making him a notable contributor to the field of intelligent mobility.
Research Focus
Key Achievements
Top Papers
- 1