Artificial neural network approach in radar target classification [PDF]
, 2009 Problem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR).
Ibrahim, N. K. +2 more
core +2 more sources
Investigating the Influence of Rotating Steel Platform in the RCS Measurement of Vehicles At 22-26 GHz for Automotive Radar Application [PDF]
, 2013 International audienceThis paper investigates the influence of rotating applications, such as ACC (Adaptive Cruise Control) or FCW steel platform in the RCS (Radar Cross Section) measurement of (Forward Collision Warning).
Chen, Pengfei +4 more
core +3 more sources
Research on key technologies of mine unmanned vehicle
Gong-kuang zidonghua, 2022 Mine unmanned vehicles are needed to reduce the number of coal mine underground operating personnel and to build safe, efficient, green and intelligent mines. The characteristics of mine unmanned vehicles are summarized as following points. The positions
SUN Jiping, JIANG Ying
doaj +1 more source
Vehicle Detection for Unmanned Systems Based on Multimodal Feature Fusion
Applied Sciences, 2022 This paper proposes a 3D vehicle-detection algorithm based on multimodal feature fusion to address the problem of low vehicle-detection accuracy in unmanned system environment awareness.
Yuli Wang, Hui Liu, Nan Chen
doaj +1 more source
Forward Collision Warning Strategy Based on Millimeter-Wave Radar and Visual Fusion
Sensors, 2023 Forward collision warning (FCW) is a critical technology to improve road safety and reduce traffic accidents. However, the existing multi-sensor fusion methods for FCW suffer from a high false alarm rate and missed alarm rate in complex weather and road ...
Chenxu Sun +5 more
doaj +1 more source
An Intelligent Monitoring System of Vehicles on Highway Traffic
, 2019 Vehicle speed monitoring and management of highways is the critical problem of the road in this modern age of growing technology and population. A poor management results in frequent traffic jam, traffic rules violation and fatal road accidents.
Ali, Hazrat +3 more
core +1 more source
Road Detection through Supervised Classification
, 2016 Autonomous driving is a rapidly evolving technology. Autonomous vehicles are capable of sensing their environment and navigating without human input through sensory information such as radar, lidar, GNSS, vehicle odometry, and computer vision.
Alkhorshid, Yasamin +3 more
core +1 more source
Target Classification Using Frontal Images Measured by 77 GHz FMCW Radar through DCNN
Applied Sciences, 2022 This paper proposes a target classification method using radar frontal imaging measured by millimeter-wave multiple-input multiple-output (MW-MIMO) radar through deep convolutional neural networks.
Mohamed Elbeialy +3 more
doaj +1 more source
Potential benefits of an adaptive forward collision warning system [PDF]
, 2008 Forward collision warning (FCW) systems can reduce rear-end vehicle collisions. However, if the presentation of warnings is perceived as mistimed, trust in the system is diminished and drivers become less likely to respond appropriately.
A. Hamish Jamson +17 more
core +1 more source
THE ANALYSIS OF METHODS OF RECEPTION OF LONGITUDINAL PROFILE OF ROADS
Системный анализ и прикладная информатика, 2018 The analysis of methods of reception of longitudinal biases/profile of road important for carrying out of modelling of movement of the vehicle on the basis of geodetic charts, gaugings of roads by means of the geodetic equipment, use mobile laboratories ...
V. G. Mikhailov
doaj +1 more source