Gopi Neela
Papers
1
Total Citations
19
H-Index
1
About
Gopi Neela is a researcher at the forefront of embedded systems and computer vision, specializing in the hardware-software co-design of resource-constrained autonomous systems. His work is defined by a relentless focus on achieving ultra-low latency and power efficiency for critical perception tasks. His most cited work, "Visual Inertial Odometry At the Edge," exemplifies this approach, dissecting the computational bottlenecks of Visual Inertial Odometry (VIO)—a foundational technology for AR/VR, drones, and autonomous navigation—and delivering a highly optimized implementation for edge devices. This contribution, with 19 citations, demonstrates his ability to bridge the gap between algorithmic complexity and real-world deployment. Neela’s research directly addresses the pressing need for efficient, on-device intelligence, making high-performance pose estimation and trajectory tracking viable for battery-powered robots and wearables. His achievements highlight a deep expertise in co-design, positioning him as a key contributor to the next generation of autonomous systems that must operate intelligently without the luxury of cloud connectivity.
Research Focus
Key Achievements
Top Papers
- 1