Gabriel Prescinotti Vivan
Papers
1
Total Citations
13
H-Index
1
About
Gabriel Prescinotti Vivan is a researcher advancing autonomous vehicle technology through accessible, simulation-based development. His primary research areas include autonomous driving systems, robotics middleware integration, and low-cost simulation environments for self-driving vehicles. His most notable contribution, the 2021 paper "No Cost Autonomous Vehicle Advancements in CARLA through ROS," has garnered 13 citations and demonstrates a practical, open-source approach to developing autonomous vehicle capabilities. By combining the CARLA simulator with the Robot Operating System (ROS), Vivan provides a framework that enables researchers and students to experiment with autonomous driving algorithms without the prohibitive costs of physical test vehicles. This work addresses a critical barrier in the field—the expense and complexity of autonomous vehicle research—by offering a scalable, zero-cost alternative. His achievements highlight a commitment to democratizing access to cutting-edge autonomous vehicle technology, making it possible for smaller labs and educational institutions to contribute meaningfully to the development of self-driving systems.
Research Focus
Key Achievements
Top Papers
- 1No Cost Autonomous Vehicle Advancements in CARLA through ROS13 citations · 2021