[HTML][HTML] Enabling technologies for urban smart mobility: Recent trends, opportunities and challenges
The increasing population across the globe makes it essential to link smart and sustainable
city planning with the logistics of transporting people and goods, which will significantly …
city planning with the logistics of transporting people and goods, which will significantly …
Review on vision-based control using artificial intelligence in autonomous ground vehicle
In today's fast-paced world, everything around us is automatized and customized as per our
needs. Many researchers forecast that by 2025 we'll be seeing approximately 8 million …
needs. Many researchers forecast that by 2025 we'll be seeing approximately 8 million …
Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance
In this paper, the development of an Indoor Autonomous Mobile Bot has been presented
where the HC SR-04 Ultrasonic Sensor (US) and two HW 201 Infrared Sensors (IR) in …
where the HC SR-04 Ultrasonic Sensor (US) and two HW 201 Infrared Sensors (IR) in …
Improved convolutional neural network and spectrogram image feature for traffic sound event classification
K Xu, J Yao, L Yao - Proceedings of the Institution of …, 2023 - journals.sagepub.com
In recent years, Sound Event Classification (SEC) is a remarkable field of computer audition
research. The abilities to automatically capture and classify sound events are meaningful for …
research. The abilities to automatically capture and classify sound events are meaningful for …
[PDF][PDF] Lightweight model for multi-traffic object detection based on deep learning under complex traffic conditions
G Chen, Y Cheng - J. Appl. Sci. Eng, 2021 - scholar.archive.org
The object detection is extremely important in autonomous driving environment awareness.
Besides vehicle and pedestrian detection, traffic signs and lights are important objects. The …
Besides vehicle and pedestrian detection, traffic signs and lights are important objects. The …
A reinforcement learning approach for shortest path navigation in automated guided vehicles for medical assistance
With the advent of tremendous innovation in the field of autonomous navigation, the day-to-
day chores of humans has been simplified. Autonomous navigation is used in all types of …
day chores of humans has been simplified. Autonomous navigation is used in all types of …
Empirical Evaluation of Deep Learning Architectures in the Early Detection of Alzheimer's Disease through MRI Data Analysis
Alzheimer's disease (AD) poses a significant challenge to healthcare systems worldwide,
necessitating early detection and intervention for effective management. In this paper …
necessitating early detection and intervention for effective management. In this paper …