This paper presents an extensive literature review on Binary Neural Network (BNN). BNN
utilizes binary weights and activation function parameters to substitute the full-precision …

We introduce N-ImageNet, a large-scale dataset targeted for robust, fine-grained object
recognition with event cameras. The dataset is collected using programmable hardware in …

Dynamic Vision Sensor (DVS) event camera output includes uninformative background
activity (BA) noise events that increase dramatically under dim lighting. Existing denoising …

For vehicles to navigate autonomously, they need to perceive and understand their
immediate surroundings. Currently, cameras are the preferred sensors, due to their high …

Binary neural networks (BNNs) are variations of artificial/deep neural network (ANN/DNN)
architectures that constrain the real values of weights to the binary set of numbers {− 1, 1} …

Event-based vision represents a paradigm shift in how vision information is captured and
processed. By only responding to dynamic intensity changes in the scene, event-based …

In recent years there has been a growing interest in event cameras, ie vision sensors that
record changes in illumination independently for each pixel. This type of operation ensures …

In contrast to conventional vision sensors that produce images of the entire field-of-view at a
fixed frame rate, dynamic vision sensors (DVS) are neuromorphic devices that only produce …

Although advances in event-based machine vision algorithms have demonstrated
unparalleled capabilities in performing some of the most demanding tasks, their …

Technology development has altered how people live. Intelligent vehicles are being
developed as a result of technological advancements in the automobile industry …