Andry Rakotonirainy

Papers

Total Citations

136

H-Index

About

Andry Rakotonirainy is a leading researcher at the intersection of human factors, intelligent transportation systems, and smart urban environments. His work critically examines the cognitive and perceptual stages essential for safe autonomous driving, as demonstrated in his highly cited 2017 paper on perception, information processing, and modeling for autonomous applications. With over 119 citations, this foundational research highlights the complex interplay between human cognition and machine decision-making, shaping how we design safer automated vehicles. Rakotonirainy has also advanced the concept of the "Automated City," exploring how autonomous vehicles, urban robots, and drones can be integrated into cohesive, intelligent urban ecosystems. His 2021 publications on this topic provide a visionary framework for future cities, emphasizing the need for holistic automation strategies. Through his research, Rakotonirainy bridges the gap between technology and human behavior, influencing both academic discourse and practical design in autonomous systems. His work continues to guide students and researchers in understanding the critical stages of automation, from perception to real-world deployment.