[HTML][HTML] A review on vehicle classification and potential use of smart vehicle-assisted techniques

H Shokravi, H Shokravi, N Bakhary, M Heidarrezaei… - Sensors, 2020 - mdpi.com
Vehicle classification (VC) is an underlying approach in an intelligent transportation system
and is widely used in various applications like the monitoring of traffic flow, automated …

Artificial intelligent systems for vehicle classification: A survey

SH Tan, JH Chuah, CO Chow, J Kanesan… - … Applications of Artificial …, 2024 - Elsevier
Digitalization is revolutionizing our way of life and catalyzing the transformation into smart
city. Intelligent Transportation System (ITS) being an indispensable component of smart city …

Error Compensation of Inkjet-printed Electronics using Incremental Learning and Knowledge Distillation

A Shahin - … Conference on Artificial Intelligence, Computer, Data …, 2024 - ieeexplore.ieee.org
The paper targets the development of an error compensation step inline a fabrication
process of inkjet-printed electronics. In the process, a microchip is placed in a circuit board …

Evaluation of a sensor array for navigation in a dynamic environment in an eight degrees-of-freedom omnidirectional vehicle

C Santibáñez, A Aedo, D Armijo - 2020 Congreso Estudiantil …, 2020 - ieeexplore.ieee.org
Robot navigation trough dynamics environments is a complex task that is both time
consuming and highly computational intense. In this paper, it is studied the usage of low …

[PDF][PDF] SELECTING OPTIMAL EDUCATIONAL BOARDS BASED ON A DECISION SUPPORT APPROACH

KQM Yas - researchgate.net
Arduino-based technologies are very popular among teachers and researchers interested in
finding appropriate solutions to develop electronic and digital devices. Therefore, Arduino …

Linear and nonlinear method based design of data fusion algorithms for advanced driver assistant systems

J Baruah, D Verma, M Pavan, S Dhar… - Telecommunications …, 2021 - dl.begellhouse.com
Data fusion can be defined as the processes of combining different types of sensor data into
a common data type. Multisensor data fusion refers to the synergistic combination of sensory …