Sensor-level computer vision with pixel processor arrays for agile robots
Vision processing for control of agile autonomous robots requires low-latency computation,
within a limited power and space budget. This is challenging for conventional computing …
within a limited power and space budget. This is challenging for conventional computing …
Neural sensors: Learning pixel exposures for HDR imaging and video compressive sensing with programmable sensors
Camera sensors rely on global or rolling shutter functions to expose an image. This fixed
function approach severely limits the sensors' ability to capture high-dynamic-range (HDR) …
function approach severely limits the sensors' ability to capture high-dynamic-range (HDR) …
Neuromorphic vision chips
N Wu - Science China Information Sciences, 2018 - Springer
The paper reviews the progress of neuromorphic vision chip research in decades. It focuses
on two kinds of the neuromorphic vision chips: frame-driven (FD) and event-driven (ED) …
on two kinds of the neuromorphic vision chips: frame-driven (FD) and event-driven (ED) …
A 0.5-V real-time computational CMOS image sensor with programmable kernel for feature extraction
TH Hsu, YR Chen, RS Liu, CC Lo… - IEEE Journal of Solid …, 2020 - ieeexplore.ieee.org
As the growing demand on artificial intelligence (AI) Internet-of-Things (IoT) devices, smart
vision sensors with energy-efficient computing capability are required. This article presents a …
vision sensors with energy-efficient computing capability are required. This article presents a …
Senputing: An ultra-low-power always-on vision perception chip featuring the deep fusion of sensing and computing
Always-on intelligent visual perception applications are widely deployed in edges in the
AIoT era. In order to eliminate power costs of data conversion and transmission, this paper …
AIoT era. In order to eliminate power costs of data conversion and transmission, this paper …
Appcip: Energy-efficient approximate convolution-in-pixel scheme for neural network acceleration
Nowadays, always-on intelligent and self-powered visual perception systems have gained
considerable attention and are widely used. However, capturing data and analyzing it via a …
considerable attention and are widely used. However, capturing data and analyzing it via a …
MR-PIPA: An Integrated Multilevel RRAM (HfOx)-Based Processing-In-Pixel Accelerator
This work paves the way to realize a processing-in-pixel (PIP) accelerator based on a
multilevel HfOx resistive random access memory (RRAM) as a flexible, energy-efficient, and …
multilevel HfOx resistive random access memory (RRAM) as a flexible, energy-efficient, and …
A 5500-frames/s 85-gops/w 3-d stacked bsi vision chip based on parallel in-focal-plane acquisition and processing
L Millet, S Chevobbe, C Andriamisaina… - IEEE Journal of Solid …, 2019 - ieeexplore.ieee.org
This paper presents a 3-D stacked vision chip featuring in-focal-plane read-out tightly
coupled with flexible computing architecture for configurable high-speed image analysis …
coupled with flexible computing architecture for configurable high-speed image analysis …
A bio-inspired spiking vision chip based on SPAD imaging and direct spike computing for versatile edge vision
Edge vision devices face real 3-D scenes with lighting fluctuations. They require a vision
chip capable of acquiring 2-D/3-D vision with a high dynamic range and performing real …
chip capable of acquiring 2-D/3-D vision with a high dynamic range and performing real …
Pisa: A non-volatile processing-in-sensor accelerator for imaging systems
This work proposes a Processing-In-Sensor Accelerator, namely PISA, as a flexible, energy-
efficient, and high-performance solution for real-time and smart image processing in AI …
efficient, and high-performance solution for real-time and smart image processing in AI …