no code implementations • 15 Apr 2024 • Marco Rasetto, Himanshu Akolkar, Ryad Benosman
The Hierarchy Of Time-Surfaces (HOTS) algorithm, a neuromorphic approach for feature extraction from event data, presents promising capabilities but faces challenges in accuracy and compatibility with neuromorphic hardware.
no code implementations • 12 Mar 2024 • Daniel C. Stumpp, Himanshu Akolkar, Alan D. George, Ryad Benosman
The introduced method itself is shown to achieve an average compression ratio of 2. 81 on a variety of event-camera datasets with the evaluation configuration used.
no code implementations • 13 Dec 2021 • Daniel C. Stumpp, Himanshu Akolkar, Alan D. George, Ryad B. Benosman
Further, we present hARMS, a hardware realization of the fARMS algorithm allowing for real-time computation of true flow on low-power, embedded platforms.
no code implementations • 29 Jan 2021 • Seth Roffe, Himanshu Akolkar, Alan D. George, Bernabé Linares-Barranco, Ryad Benosman
The results show that event-based cameras are capable of functioning in a space-like, radiative environment with a signal-to-noise ratio of 3. 355.
no code implementations • 27 Nov 2018 • Himanshu Akolkar, Sio-Hoi Ieng, Ryad Benosman
Optical flow is a crucial component of the feature space for early visual processing of dynamic scenes especially in new applications such as self-driving vehicles, drones and autonomous robots.