Benny Wijaya
Papers
1
Total Citations
2
H-Index
1
About
Benny Wijaya is a researcher specializing in visual-inertial odometry (VIO) and state estimation for autonomous systems, with a particular focus on robust navigation in challenging environments. His major contribution lies in developing a scale drift-free VIO algorithm tailored for ground vehicles operating in highway scenarios, where traditional methods often fail due to sparse visual features and insufficient inertial excitation. By addressing these limitations, Wijaya’s work enhances the reliability of autonomous driving systems in high-speed, feature-poor conditions. His most-cited paper, "Scale Drift-free Visual-inertial Odometry for Ground Vehicles in Highway Scenarios" (2023), has garnered 2 citations, reflecting its emerging impact in the robotics and autonomous driving communities. This research is notable for its practical application to real-world driving challenges, bridging the gap between theoretical VIO advancements and deployment in demanding environments. Wijaya’s work is particularly valuable for students and researchers seeking to understand how sensor fusion can overcome the limitations of individual sensors in autonomous navigation.
Research Focus
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Top Papers
- 1