4 citations · 10 across the 6 of their papers we have counts for
8 papers
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors
Haley M. So, Laurie Bose, Piotr Dudek +1
Conventional image sensors digitize high-resolution images at fast frame rates, producing a large amount of data that needs to be transmitted off the sensor for further processing.…
On-Sensor Binarized Fully Convolutional Neural Network with A Pixel Processor Array
Yanan Liu, Laurie Bose, Yao Lu +2
This work presents a method to implement fully convolutional neural networks (FCNs) on Pixel Processor Array (PPA) sensors, and demonstrates coarse segmentation and object localisa…
MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding
Haley M. So, Julien N. P. Martel, Piotr Dudek +1
The ability to image high-dynamic-range (HDR) scenes is crucial in many computer vision applications. The dynamic range of conventional sensors, however, is fundamentally limited b…
Direct Servo Control from In-Sensor CNN Inference with A Pixel Processor Array
Yanan Liu, Jianing Chen, Laurie Bose +2
This work demonstrates direct visual sensory-motor control using high-speed CNN inference via a SCAMP-5 Pixel Processor Array (PPA). We demonstrate how PPAs are able to efficiently…
Bringing A Robot Simulator to the SCAMP Vision System
Yanan Liu, Jianing Chen, Laurie Bose +2
This work develops and demonstrates the integration of the SCAMP-5d vision system into the CoppeliaSim robot simulator, creating a semi-simulated environment. By configuring a came…
Agile Reactive Navigation for A Non-Holonomic Mobile Robot Using A Pixel Processor Array
Yanan Liu, Laurie Bose, Colin Greatwood +6
This paper presents an agile reactive navigation strategy for driving a non-holonomic ground vehicle around a preset course of gates in a cluttered environment using a low-cost pro…