Giannis Delimpaltadakis
Papers
1
Total Citations
40
H-Index
1
About
Giannis Delimpaltadakis is a researcher whose work lies at the intersection of control theory, multi-agent systems, and autonomous vehicles. His most-cited paper, "Decentralized Platooning With Obstacle Avoidance for Car-Like Vehicles With Limited Sensing" (2018, 40 citations), tackles a critical challenge in autonomous driving: how to maintain safe, coordinated platoons of car-like vehicles while navigating dynamic environments with obstacles. In this work, Delimpaltadakis proposed a decentralized control framework where each vehicle relies only on local sensing—an on-board camera for the preceding vehicle and a laser scanner for obstacles—to achieve both platoon formation and collision avoidance. This approach is notable for its practicality, as it reduces reliance on global communication or centralized computation, making it suitable for real-world deployments with limited sensing capabilities. By addressing the interplay between vehicular dynamics, obstacle detection, and decentralized decision-making, Delimpaltadakis has contributed foundational insights to the field of autonomous multi-vehicle systems. His research continues to influence the development of safer, more scalable autonomous driving technologies, particularly in scenarios requiring robust coordination under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1