34 citations · 51 across the 7 of their papers we have counts for
14 papers
In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers
Abhishek Ramdas Nair, Shantanu Chakrabartty, Chetan Singh Thakur
We present a novel in-filter computing framework that can be used for designing ultra-light acoustic classifiers for use in smart internet-of-things (IoTs). Unlike a conventional a…
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data
Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur
Event cameras are activity-driven bio-inspired vision sensors, thereby resulting in advantages such as sparsity,high temporal resolution, low latency, and power consumption. Given…
Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement
Adithya Krishna, André van Schaik, Chetan Singh Thakur
Particle filtering is a recursive Bayesian estimation technique that has gained popularity recently for tracking and localization applications. It uses Monte Carlo simulation and h…
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware
Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan +1
Every day around the world, interminable terabytes of data are being captured for surveillance purposes. A typical 1-2MP CCTV camera generates around 7-12GB of data per day. Frame-…
Unlimited Dynamic Range Analog-to-Digital Conversion
Adithya Krishna, Sunil Rudresh, Vishal Shaw +3
Analog-to-digital converters (ADCs) provide the link between continuous-time signals and their discrete-time counterparts, and the Shannon-Nyquist sampling theorem provides the mat…
EvAn: Neuromorphic Event-based Anomaly Detection
Lakshmi Annamalai, Anirban Chakraborty, Chetan Singh Thakur
Event-based cameras are bio-inspired novel sensors that asynchronously record changes in illumination in the form of events, thus resulting in significant advantages over conventio…