15 citations · 20 across the 4 of their papers we have counts for
4 papers
Gleanmer: A 6 mW SoC for Real-Time 3D Gaussian Occupancy Mapping
Zih-Sing Fu, Peter Zhi Xuan Li, Sertac Karaman +1
High-fidelity 3D occupancy mapping is essential for many edge-based applications (such as AR/VR and autonomous navigation) but is limited by power constraints. We present Gleanmer,…
GEVO: Memory-Efficient Monocular Visual Odometry Using Gaussians
Dasong Gao, Peter Zhi Xuan Li, Vivienne Sze +1
Constructing a high-fidelity representation of the 3D scene using a monocular camera can enable a wide range of applications on mobile devices, such as micro-robots, smartphones, a…
GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model
Peter Zhi Xuan Li, Sertac Karaman, Vivienne Sze
Energy consumption of memory accesses dominates the compute energy in energy-constrained robots which require a compact 3D map of the environment to achieve autonomy. Recent mappin…
Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time
Keshav Gupta, Peter Zhi Xuan Li, Sertac Karaman +1
Exploration tasks are essential to many emerging robotics applications, ranging from search and rescue to space exploration. The planning problem for exploration requires determini…