Riku Usami

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About

Riku Usami is a researcher at the forefront of autonomous vehicle navigation, with a primary focus on path planning in complex, real-world environments. His most cited work, "Two-Lane Path Planning of Autonomous Vehicles in 2.5D Environments" (2019), has garnered 17 citations, establishing a foundation for extending collision-free 2D path planning into more realistic 2.5D terrains. Usami’s key contribution lies in mapping 2D paths from parameter space onto undulating surfaces, enabling autonomous vehicles to navigate hills, slopes, and uneven ground while maintaining two-lane safety protocols. This work bridges the gap between theoretical robotics and practical deployment, addressing critical challenges in off-road and semi-structured environments. By building on his prior 2D collision-avoidance techniques, Usami has provided a scalable framework that enhances vehicle autonomy in challenging landscapes. His research is particularly valuable for students and engineers working on autonomous driving systems, offering a clear methodology for transitioning from flat to 2.5D path planning. With a growing citation record, Usami continues to influence the next generation of navigation algorithms, making him a notable figure in the field of intelligent transportation systems.