Ki‐Tae Hwang
Papers
1
Total Citations
3
H-Index
1
About
Ki-Tae Hwang is a researcher at the forefront of autonomous driving systems, with a primary focus on developing cost-effective platforms for self-driving technology. His most cited work, "Implementation of Autonomous Driving on RC-CAR with Raspberry PI and AI Server" (2022), addresses a critical barrier in the field: the prohibitive cost of full-scale autonomous vehicles equipped with advanced sensors. Hwang's major contribution lies in demonstrating that scaled-down, affordable platforms—using Raspberry Pi and AI servers—can effectively replicate core autonomous driving functions, including object recognition and self-navigation. This approach democratizes research, enabling broader experimentation and education in autonomous systems. While his citation count of 3 reflects the recent nature of this work, its practical significance is underscored by its potential to accelerate development cycles and lower entry barriers for students and smaller labs. Hwang's research bridges the gap between theoretical algorithms and real-world implementation, offering a tangible pathway for advancing autonomous driving technology without requiring expensive hardware. His work represents a pragmatic, accessible step toward the future of intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1