De Silva
Papers
8
Total Citations
234
H-Index
6
About
De Silva is a prominent researcher at the intersection of autonomous systems, robotics, and artificial intelligence, with a particular focus on intelligent mobility and human-robot interaction. His most influential work centers on sensor fusion and environmental perception for autonomous mobile robots, most notably his widely cited 2018 paper on robust LiDAR and wide-angle camera fusion (124 citations), which has become a key reference in the field of autonomous navigation. Building on this foundation, De Silva has made significant contributions to LiDAR-based mapping — including tackling the notoriously difficult challenge of glass detection in occupancy grids — and to reinforcement learning-based vehicle control, exploring both its promise and practical limitations for intelligent transportation systems. His research extends into multi-agent decision-making, human activity recognition, and IoT-enabled ambient intelligence for assisted living environments, reflecting a broad commitment to making autonomous systems safer and more human-aware. With a portfolio accumulating over 230 citations, De Silva's work spans both the theoretical and applied dimensions of autonomous systems, offering valuable insights for researchers working in robotics, computer vision, and AI-driven mobility solutions.
Research Focus
Key Achievements
Top Papers
- 1Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots124 citations · 2018
- 2LiDAR-Based Glass Detection for Improved Occupancy Grid Mapping38 citations · 2021
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- 6IoT Driven Ambient Intelligence Architecture for Indoor Intelligent Mobility11 citations · 2018
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