Search Results for author: Himanshu Akolkar

Found 4 papers, 0 papers with code

Real-time high speed motion prediction using fast aperture-robust event-driven visual flow

no code implementations27 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.

Motion Estimation motion prediction +1

Neutron-Induced, Single-Event Effects on Neuromorphic Event-based Vision Sensor: A First Step Towards Space Applications

no code implementations29 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.

Event-based vision

hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow

no code implementations13 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.

Event-based Optical Flow Optical Flow Estimation

Flow-Based Visual Stream Compression for Event Cameras

no code implementations12 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.

Event-based vision Optical Flow Estimation

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