Evan Millar
Papers
1
Total Citations
5
H-Index
1
About
Evan Millar is a researcher whose work lies at the intersection of computer vision and autonomous robotics. His most-cited paper, "A simple approach to a vision-guided unmanned vehicle" (2005, 5 citations), details the design and implementation of a vision-guided autonomous vehicle that represented Brigham Young University in the 2005 Intelligent Ground Vehicle Competition (IGVC). In this competition, autonomous vehicles must navigate a course marked by white lines while avoiding obstacles such as orange construction barrels, a challenging task that requires robust real-time perception and control. Millar's contribution lies in demonstrating a straightforward yet effective approach to this problem, offering a clear methodology for integrating vision-based navigation with obstacle avoidance. While his citation count is modest, his work has practical significance in the field of field robotics, providing a foundational example for students and researchers developing low-cost, vision-guided platforms. His achievement in the IGVC highlights his ability to translate theoretical concepts into a working, competitive system, underscoring his impact on hands-on autonomous vehicle development.
Research Focus
Key Achievements
Top Papers
- 1A simple approach to a vision-guided unmanned vehicle5 citations · 2005