no code implementations • 25 Mar 2024 • Laurie Bose, Piotr Dudek
Such a device allows visual data to be efficiently stored and manipulated directly upon the focal plane, but also demands the invention of new approaches and algorithms, suitable for the massively-parallel fine-grain processor arrays.
no code implementations • 11 Apr 2023 • Haley M. So, Laurie Bose, Piotr Dudek, Gordon Wetzstein
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.
no code implementations • 2 Feb 2022 • Yanan Liu, Laurie Bose, Yao Lu, Piotr Dudek, Walterio Mayol-Cuevas
This work presents a method to implement fully convolutional neural networks (FCNs) on Pixel Processor Array (PPA) sensors, and demonstrates coarse segmentation and object localisation tasks.
no code implementations • 26 May 2021 • Yanan Liu, Jianing Chen, Laurie Bose, Piotr Dudek, Walterio Mayol-Cuevas
This work demonstrates direct visual sensory-motor control using high-speed CNN inference via a SCAMP-5 Pixel Processor Array (PPA).
no code implementations • 27 Sep 2020 • Yanan Liu, Laurie Bose, Colin Greatwood, Jianing Chen, Rui Fan, Thomas Richardson, Stephen J. Carey, Piotr Dudek, Walterio Mayol-Cuevas
Experimental results demonstrate that the algorithm's ability to enable a ground vehicle to navigate at an average speed of 2. 20 m/s for passing through multiple gates and 3. 88 m/s for a 'slalom' task in an environment featuring significant visual clutter.
no code implementations • ECCV 2020 • Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio Mayol-Cuevas
This is in contrast to previous works that only use a sensor-level processing to sequentially compute image convolutions, and must transfer data to an external digital processor to complete the computation.
no code implementations • ICCV 2019 • Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio Mayol-Cuevas
This allows images to be stored and manipulated directly at the point of light capture, rather than having to transfer images to external processing hardware.
no code implementations • ICCV 2017 • Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio Mayol-Cuevas
We present an approach of estimating constrained motion of a novel Cellular Processor Array (CPA) camera, on which each pixel is capable of limited processing and data storage allowing for fast low power parallel computation to be carried out directly on the focal-plane of the device.