About
Contact & Profiles
A5115884928
Research Areas
- Robotic Path Planning Algorithms
- Control and Dynamics of Mobile Robots
- Autonomous Vehicle Technology and Safety
Università Campus Bio-Medico
2025
This work investigates the possibility to improve computational efficiency of a set-based method for trajectory planning car-like vehicle through artificial intelligence. Planning is performed on graph that represents operating scenario in which moves, and kinodynamic feasibility trajectories guaranteed series arguments, involve solution semi-definite programming problems. Navigation hybrid A* algorithm whose performance metrics are improved properly trained classificator, can forecast...
10.3390/app15020795
article
EN
cc-by
Applied Sciences
2025-01-15
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