Real-time 2D height mapping method for an unmanned vehicle using a stereo camera and laser sensor fusion

2012 ◽  
Vol 10 (4) ◽  
pp. 761-771 ◽  
Author(s):  
Jeong-Hyun Kim ◽  
Young-Zhu Yoon ◽  
Sun-Cheol Yu ◽  
Dong-Joong Kang
Keyword(s):  
Real Time ◽  
Sensor Fusion ◽  
Mapping Method ◽  
Laser Sensor ◽  
Unmanned Vehicle ◽  
Stereo Camera

Low-speed Unmanned Vehicle Localization Based on Sensor Fusion of Low-cost Stereo Camera and IMU

2021 ◽  
Author(s):  
Wei Wang ◽  
Hu Sun ◽  
Yuqiang Jin ◽  
Minglei Fu ◽  
Kun Li ◽  
...  
Keyword(s):  
Sensor Fusion ◽  
Low Cost ◽  
Vehicle Localization ◽  
Unmanned Vehicle ◽  
Stereo Camera ◽  
Low Speed

Real-Time 3-D Mapping for Indoor Environments Using RGB-D Cameras

2012 ◽  
Vol 579 ◽  
pp. 435-444 ◽  
Author(s):  
Liang Chia Chen ◽  
Nguyen Van Thai
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Three Dimensional ◽  
Mapping Method ◽  
Depth Information ◽  
Indoor Environments ◽  
Stereo Camera ◽  
Camera Systems ◽  
Compact Size ◽  
Laser Scanners

For three-dimensional (3-D) mapping, so far, 3-D laser scanners and stereo camera systems are used widely due to their high measurement range and accuracy. For stereo camera systems, establishing corresponding point pairs between two images is one crucial step for reconstructing depth information. However, mapping approaches using laser scanners are still restricted by a serious constraint by accurate image registration and mapping. In recent years, time-of-flight (ToF) cameras have been used for mapping tasks in providing high frame rates while preserving a compact size, but lack in measurement precision and robustness. To address the current technological bottleneck, this article presents a 3-D mapping method which employs an RGB-D camera for 3-D data acquisition and then applies the RGB-D features alignment (RGBD-FA) for data registration. Experimental results show the feasibility and robustness of applying the proposed approach for real-time 3-D mapping for large-scale indoor environments.

Sequential Sensor Fusion-Based Real-Time LSTM Gait Pattern Controller for Biped Robot

2021 ◽  
Vol 21 (2) ◽  
pp. 2241-2255 ◽  
Author(s):  
Tzuu-Hseng S. Li ◽  
Ping-Huan Kuo ◽  
Chuan-Han Cheng ◽  
Chia-Ching Hung ◽  
Po-Chien Luan ◽  
...  
Keyword(s):  
Real Time ◽  
Sensor Fusion ◽  
Biped Robot ◽  
Gait Pattern

scholarly journals COVIDSAVIOR: A Novel Sensor-Fusion and Deep Learning Based Framework for Virus Outbreaks

2021 ◽  
Vol 9 ◽  
Author(s):  
Sharnil Pandya ◽  
Anirban Sur ◽  
Nitin Solke
Keyword(s):  
Deep Learning ◽  
Body Temperature ◽  
Real Time ◽  
Sensor Fusion ◽  
Face Mask ◽  
Temperature Threshold ◽  
Mask Condition ◽  
Essential Information ◽  
The Individual ◽  
Scanning Mechanism

The presented deep learning and sensor-fusion based assistive technology (Smart Facemask and Thermal scanning kiosk) will protect the individual using auto face-mask detection and auto thermal scanning to detect the current body temperature. Furthermore, the presented system also facilitates a variety of notifications, such as an alarm, if an individual is not wearing a mask and detects thermal temperature beyond the standard body temperature threshold, such as 98.6°F (37°C). Design/methodology/approach—The presented deep Learning and sensor-fusion-based approach can also detect an individual in with or without mask situations and provide appropriate notification to the security personnel by raising the alarm. Moreover, the smart tunnel is also equipped with a thermal sensing unit embedded with a camera, which can detect the real-time body temperature of an individual concerning the prescribed body temperature limits as prescribed by WHO reports. Findings—The investigation results validate the performance evaluation of the presented smart face-mask and thermal scanning mechanism. The presented system can also detect an outsider entering the building with or without mask condition and be aware of the security control room by raising appropriate alarms. Furthermore, the presented smart epidemic tunnel is embedded with an intelligent algorithm that can perform real-time thermal scanning of an individual and store essential information in a cloud platform, such as Google firebase. Thus, the proposed system favors society by saving time and helps in lowering the spread of coronavirus.

The performance of a real time LAN architecture for sensor fusion applications

2003 ◽  
Author(s):  
V. Cherkassky ◽  
H. Lari-Najaffi ◽  
N.L. Lawrie ◽  
D. Masson ◽  
D.W. Pritty
Keyword(s):  
Real Time ◽  
Sensor Fusion ◽  
Fusion Applications
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