Convolutional neural networks for 5G-enabled intelligent transportation system: A systematic review

D Sirohi, N Kumar, PS Rana - Computer Communications, 2020 - Elsevier
Abstract Modern 5G-enabled Intelligent Transportation System (ITS) provides comfort and
safety to the end users by using various models and techniques most of which are based on …

Artificial intelligence-aided automated detection of railroad trespassing

A Zaman, B Ren, X Liu - Transportation research record, 2019 - journals.sagepub.com
Trespassing is the leading cause of rail-related deaths and has been on the rise for the past
10 years. Detection of unsafe trespassing of railroad tracks is critical for understanding and …

Pedestrian recognition and obstacle avoidance for autonomous vehicles using raspberry Pi

C Day, L McEachen, A Khan, S Sharma… - Intelligent Systems and …, 2020 - Springer
The aim of this paper is twofold: firstly, to use ultrasonic sensors to detect obstacles and
secondly to present a comparison of machine learning and deep learning algorithms for …

Real-time gender recognition from face images using deep convolutional neural network

CI Orozco, F Iglesias, ME Buemi, JJ Berlles - 2017 - IET
Gender recognition is a topic of interest in computer vision due to its applications such as
surveillance in public places, directed advertising, among others. The good results obtained …

Dimension Reduction using Orthogonal Local Preserving Projection in Big data

SK Ummadi, ES Reddy - International Journal of Intelligent …, 2019 - search.proquest.com
Big Data is unstructured data that overcome the processing complexity of conventional
database systems. The dimensionality reduction approach, which is a fundamental …

Pedestrian Lane Control System with Alert System

EV Galang, NR Portillo, JJ Adtoon - International Conference on …, 2021 - Springer
Pedestrian accidents are inevitable despite the inclusion of pedestrian lanes. Vehicle users
tend to neglect pedestrian lanes unless law enforcers are watching. On the other hand …

[PDF][PDF] A Cognitive Approach To Predict the Multi-Directional Trajectory of Pedestrians

B Subramaniam, M Meenakshisundaram - ccis2k.org
Pedestrian detection is one of the important areas in computer vision. This work is about
detecting the multidirectional pedestrian's left, right, and the front movements. On …

Railroad trespassing detection and analysis using video analytics

AF Zaman - 2018 - rucore.libraries.rutgers.edu
Trespassing is the leading cause of rail-related deaths and has been on the rise for the past
ten years. Detection of trespassing of railroad tracks is critical to understand and prevent …