Lance Hacking
Papers
1
Total Citations
19
H-Index
1
About
Lance Hacking is a leading researcher at the intersection of computer vision, embedded systems, and robotics, with a core focus on enabling real-time spatial intelligence on resource-constrained devices. His most cited work, "Visual Inertial Odometry At the Edge," tackles the critical challenge of deploying Visual Inertial Odometry (VIO)—a foundational technology for pose and trajectory estimation in AR/VR, autonomous drones, and robots—on low-power hardware. By employing a hardware-software co-design approach, Hacking’s research identifies and resolves key computational bottlenecks in VIO, achieving ultra-low latency and power consumption without sacrificing accuracy. This breakthrough has garnered 19 citations and is pivotal for edge-based autonomous navigation. Beyond this, his contributions extend to optimizing perception pipelines for real-time systems, bridging the gap between algorithmic complexity and practical deployment. Hacking’s work is highly influential for students and engineers building next-generation autonomous systems, demonstrating how careful co-design can unlock new capabilities in mobile and embedded platforms. His achievements underscore a commitment to making advanced robotics and spatial computing accessible, efficient, and scalable.
Research Focus
Key Achievements
Top Papers
- 1