S. Kannan
Papers
1
Total Citations
7
H-Index
1
About
Dr. S. Kannan is a leading researcher in autonomous robotics and computer vision, with a primary focus on enabling robust navigation for unmanned aerial vehicles (UAVs) and ground robots in unstructured environments. Their most-cited work, "Motion Estimation for Obstacle Detection and Avoidance Using a Single Camera for UAVs/Robots" (2010, 7 citations), introduces a pioneering approach to vision-based navigation that minimizes onboard hardware requirements. By leveraging a single camera for motion estimation, Kannan demonstrated that effective obstacle detection and avoidance is achievable without expensive stereo vision or LiDAR systems, significantly reducing payload and cost for small-scale robots. This contribution is foundational for lightweight, low-power autonomous systems operating in unknown terrains. Kannan’s research addresses critical challenges in Structure from Motion (SfM) and optical flow, advancing the practicality of monocular vision for real-time navigation. Their work has influenced subsequent developments in drone autonomy and field robotics, offering a scalable solution for search-and-rescue, environmental monitoring, and exploration missions. With a career dedicated to efficient, accessible vision systems, Kannan continues to shape the future of intelligent, self-navigating machines.
Research Focus
Key Achievements
Top Papers
- 1