Ángel Llamazares
Papers
14
Total Citations
319
H-Index
9
About
Ángel Llamazares is a leading researcher in autonomous systems, specializing in perception, navigation, and safety for mobile robots and autonomous vehicles. His work centers on enabling robots to operate reliably in dynamic, real-world environments, with key contributions in obstacle avoidance, detection and tracking of moving obstacles (DATMO), and high-definition (HD) mapping. His highly cited 2019 paper on dynamic window-based obstacle avoidance (90 citations) and his comprehensive DATMO review (51 citations) have become foundational references in the field. Llamazares also advanced autonomous driving stacks by proposing a modular ROS-based architecture for safe and reliable system validation (25 citations), and he pioneered the use of OpenDRIVE for HD map-based path planning and monitoring (38 citations). Earlier in his career, he made notable contributions to WiFi-based localization and SLAM, developing soft computing techniques to handle small-scale signal variations (27 citations). His research, spanning from indoor SLAM with range-only sensors to dynamic obstacle avoidance using Bayesian occupancy filters, has accumulated over 300 citations, reflecting his sustained impact on both mobile robotics and autonomous driving.
Research Focus
Key Achievements
Top Papers
- 1Dynamic window based approaches for avoiding obstacles in moving90 citations · 2019
- 2Detection and Tracking of Moving Obstacles (DATMO): A Review51 citations · 2019
- 3HD maps: Exploiting OpenDRIVE potential for Path Planning and Map Monitoring38 citations · 2022
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- 7A comparison of SLAM algorithms with range only sensors19 citations · 2014
- 8WiFi SLAM algorithms: an experimental comparison17 citations · 2014
- 9Dynamic obstacle avoidance based on curvature arcs13 citations · 2014
- 103D Map Building Using a 2D Laser Scanner6 citations · 2012