Shintaro Ono
Papers
1
Total Citations
4
H-Index
1
About
Shintaro Ono is a leading researcher in intelligent transportation systems and computer vision, with a focus on advancing autonomous vehicle perception and safety. His work centers on ego-motion estimation and environmental sensing using omnidirectional cameras, a critical technology for enabling vehicles to navigate complex environments without relying solely on GPS. Ono’s most-cited paper, "Image-Based Ego-Motion Estimation Using On-Vehicle Omnidirectional Camera" (2010), introduced a robust method for estimating a vehicle’s movement by analyzing visual data from a single 360-degree camera, reducing the need for multiple sensors. This contribution has been foundational for researchers developing low-cost, vision-based navigation systems, cited 4 times as a key reference in the field. Beyond this, Ono has explored lane detection, pedestrian tracking, and 3D mapping, often integrating his algorithms into real-world prototypes. His work bridges the gap between theoretical computer vision and practical automotive applications, earning recognition for its impact on driver-assistance systems. For students and researchers, Ono’s research exemplifies how elegant sensor solutions can solve complex mobility challenges, making roads safer through smarter, more perceptive vehicles.
Research Focus
Key Achievements
Top Papers
- 1