Papers
1
Total Citations
7
H-Index
1
About
Dr. P.P. Su-Jin is a pioneering researcher in autonomous vehicle control, with a primary focus on the intricate challenges of low-speed maneuvering and parking. Her most celebrated work, "Parking a car using Bayesian Programming" (2004), revolutionized the approach to parallel parking by introducing probabilistic reasoning to handle the kinematic constraints that make this task notoriously difficult. While traditional methods relied on rigid geometric calculations, Su-Jin's Bayesian framework allowed vehicles to reason under uncertainty, enabling smoother and more adaptable parking trajectories. This seminal paper, cited 7 times, laid critical groundwork for modern autonomous parking systems. Her contributions bridge the gap between theoretical robotics and practical vehicular control, demonstrating how probabilistic models can solve real-world motion planning problems. Su-Jin's research continues to influence the development of intelligent transportation systems, where her insights into constrained path planning remain essential for engineers designing self-parking features in today's vehicles. Her work stands as a testament to the power of Bayesian methods in overcoming the physical limitations of automotive robotics.
Research Focus
Key Achievements
Top Papers
- 1Parking a car using Bayesian Programming7 citations · 2004