Intelligent CFAR Detector Based on Support Vector Machine
In this paper, we propose an intelligent constant false alarm rate detector, which uses support vector machine (SVM) techniques to improve the radar detection performance in different background environments.
Leiou Wang, Donghui Wang, Chengpeng Hao
doaj +1 more source
Snow coverage estimation using camera data for automated driving applications
In the U.S., over 38,000 fatalities occur every year due to automotive accidents where 24% of these accidents are attributable to inclement weather.
Nicholas A. Goberville +5 more
doaj +1 more source
Abstract: Self-driving cars are a rapidly advancing technology that is poised to revolutionize the way people travel. The purpose of the self-driving car project is to create a vehicle that can operate autonomously, without the need for a human driver.
Kavita Jain +4 more
openaire +1 more source
Analysis and Accuracy Improvement of UWB-TDoA-Based Indoor Positioning System
Positioning systems are used in a wide range of applications which require determining the position of an object in space, such as locating and tracking assets, people and goods; assisting navigation systems; and mapping. Indoor Positioning Systems (IPSs)
Paolo Grasso +4 more
doaj +1 more source
A Novel Multi-Scale Adaptive Convolutional Network for Single Image Super-Resolution
Recently, the methods based on deep convolutional neural networks have shown superior performance on image restoration. By using a faster and deeper network, the existing methods have achieved the breakthroughs in speed and accuracy. But, they still work
Peng Liu, Ying Hong, Yan Liu
doaj +1 more source
Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS - a collection of Technical Notes Part 1 [PDF]
This report provides an introduction and overview of the Technical Topic Notes (TTNs) produced in the Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS (Tigars) project.
Bloomfield, R. E. +10 more
core +5 more sources
Deep Differential Convolutional Network for Single Image Super-Resolution
The deep convolutional neural networks and residual networks have shown great success and high-quality reconstruction for single image super-resolution.
Peng Liu, Ying Hong, Yan Liu
doaj +1 more source
On M2M Micropayments : A Case Study of Electric Autonomous Vehicles [PDF]
The proliferation of electric vehicles has spurred the research interest in technologies associated with it, for instance, batteries, and charging mechanisms.
Hussain, Rasheed +5 more
core +4 more sources
Quantifying automated vehicle benefits in reducing driving stress: a simulation experiment approach
Driving is a stressful activity because of the mental workload required to maneuver a vehicle in certain travel contexts, such as congested traffic, multi-modal networks requiring complex interaction with surrounding vehicles, and aggressive driving ...
Zulqarnain H. Khattak, Zhenhong Lin
doaj +1 more source
AWARE: Platform for Autonomous self-deploying and operation of Wireless sensor-actuator networks cooperating with unmanned AeRial vehiclEs [PDF]
This paper presents the AWARE platform that seeks to enable the cooperation of autonomous aerial vehicles with ground wireless sensor-actuator networks comprising both static and mobile nodes carried by vehicles or people.
Andres, Eduardo de +6 more
core +3 more sources

