A Ray-Casting Accelerator in 10nm CMOS for Efficient 3D Scene Reconstruction in Edge Robotics and Augmented Reality Applications
Monodeep Kar, Amit Agarwal, Steven Hsu, David Moloney, Gregory Chen, Raghavan Kumar, H. Ekin Sumbul, Phil Knag, Mark Anders, Himanshu Kaul, Jonathan Byrne, Luca Sarti, Ram Krishnamurthy, Vivek De
- Year
- 2020
- Citations
- 8
Abstract
A ray-casting accelerator in 10nm CMOS simultaneously casts multiple rays in spatial proximity to exploit voxel data-locality, featuring a near-memory search for voxel address overlaps and opportunistic approximate trilinear interpolation for energy savings. Measurements demonstrate ray-casting of 320×240 depth images with an average latency of 23.2ms/frame, while consuming 32.7pJ energy per ray-step and achieving a maximum energy-efficiency of 115.3 giga raysteps/W.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991