Francesco Amerotti

University of Pisa, Tianjin University

Papers

2

Total Citations

50

H-Index

2

About

Francesco Amerotti is a leading researcher in autonomous vehicle systems, with a specialized focus on high-speed self-driving technologies for competitive motorsport. His work bridges the gap between conventional autonomous driving and the extreme demands of full-scale racing, where split-second decisions and precise control are paramount. Amerotti’s key contributions include the design of robotic drivers capable of navigating racing vehicles at their performance limits, integrating advanced perception, planning, and control methods. His most-cited papers, "Towards the Design of Robotic Drivers for Full-Scale Self-Driving Racing Cars" (2019) and "A Planning and Control System for Self-Driving Racing Vehicles" (2018), each with 25 citations, lay foundational frameworks for autonomous racing. These works address the unique challenges of unpredictable racing environments—such as dynamic opponents and high-speed maneuvers—while leveraging cost-effective sensors and computing platforms to make the technology more accessible. By tackling scenarios that go beyond cooperative traffic rules, Amerotti’s research pushes the boundaries of what autonomous systems can achieve under extreme conditions, offering insights applicable to both competitive racing and safer, more robust self-driving cars for everyday use.

Research Focus

Key Achievements

2
H-Index
2
Papers
50
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Towards the Design of Robotic Drivers for Full-Scale Self-Driving Racing Cars
25 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Pisa, Tianjin University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago