Integrated wideband chip-scale RF transceivers for radar sensing and UWB communications: A survey

Z Fang, W Wang, J Wang, B Liu, K Tang… - IEEE Circuits and …, 2022 - ieeexplore.ieee.org
With the rapid development of semiconductor technologies, the wideband transceiver is in
the trend to be integrated on-chip with compact size and low power consumption. This …

Driver drowsiness detection and monitoring system using machine learning

R Chinthalachervu, I Teja, MA Kumar… - Journal of Physics …, 2022 - iopscience.iop.org
In the present world, lots of road accidents take place due to the lack of attention and
alertness of driver. This is termed as driver drowsiness. This leads to a lot of unfortunate …

A multi-core object detection coprocessor for multi-scale/type classification applicable to IoT devices

P Xu, Z Xiao, X Wang, L Chen, C Wang, F An - Sensors, 2020 - mdpi.com
Power efficiency is becoming a critical aspect of IoT devices. In this paper, we present a
compact object-detection coprocessor with multiple cores for multi-scale/type classification …

Optimized Hardware Vision System for Vehicle Detection based on FPGA and Combining Machine Learning and PSO

F Hamdaoui, S Bougharriou, A Mtibaa - Microprocessors and Microsystems, 2022 - Elsevier
Vision-based hardware driver assistance systems are the most important systems in the
world because of their low cost and ability to provide information on driving environments …

A novel low-resource consumption and high-speed hardware implementation of HOG feature extraction on FPGA for human detection

Y He, J Huang, Y Pan - Integration, 2024 - Elsevier
In today's increasingly complex traffic environment, pedestrian detection has become
increasingly important. The Histogram of Oriented Gradients (HOG) algorithm has been …

Real-time object detection and distance measurement for humanoid robot using you only look once

S Dwijayanti, BY Suprapto, M Mutiyara… - Bulletin of Electrical …, 2024 - beei.org
Humanoid robots are designed to mimic human structures and utilize cameras to process
visual input to identify surrounding objects. However, previous studies have focused solely …

Driver State Monitoring System Using AI

N Saranya, V Priyanka, T Harini… - 2023 International …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) is a rapidly expanding field that the world needs. It is frequently
used in scenarios where a group of intelligent robots utilize their intelligence to weaken …

A hardware-efficient HOG-SVM algorithm and its FPGA implementation

P Dai, J Tang, J Yuan, Y Yu - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Recently, pedestrian detection has been an important issue in the field of computer vision.
To solve the problem of large computation and poor real-time performance in pedestrian …

A high frame-rate of cell-based histogram-oriented gradients human detector architecture implemented in field programmable gate arrays

S Fuada, T Adiono, H Kasan - IAES International Journal of …, 2023 - search.proquest.com
In respect of the accuracy, one of the well-known techniques for human detection is the
histogram-oriented gradients (HOG) method. Unfortunately, the HOG feature calculation is …

Driver's Drowsiness Monitoring and Detection System by the use of Machine Learning and OpenCV.

S Sharma - Amity Journal of Computational Sciences, 2023 - search.ebscohost.com
Everyday, we listen so many road accidents which occurs because of the absent and
distracted mindfulness of the drivers. This is popularly known as driver drowsiness. It is …