Fusing ultra-wideband radar and lidar for small UGV navigation in all-weather conditions

2010 ◽  
Author(s):  
Brian Yamauchi
Keyword(s):  
Weather Conditions ◽  
Ultra Wideband ◽  
Wideband Radar

scholarly journals INSPEX: Optimize Range Sensors for Environment Perception as a Portable System

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4350 ◽  
Author(s):  
Julie Foucault ◽  
Suzanne Lesecq ◽  
Gabriela Dudnik ◽  
Marc Correvon ◽  
Rosemary O’Keeffe ◽  
...  
Keyword(s):  
Weather Conditions ◽  
Obstacle Detection ◽  
Ultra Wideband ◽  
Human Beings ◽  
Computational Capability ◽  
Perception System ◽  
Environment Perception ◽  
Wideband Radar ◽  
Multiple Sensing ◽  
Range Sensors

Environment perception is crucial for the safe navigation of vehicles and robots to detect obstacles in their surroundings. It is also of paramount interest for navigation of human beings in reduced visibility conditions. Obstacle avoidance systems typically combine multiple sensing technologies (i.e., LiDAR, radar, ultrasound and visual) to detect various types of obstacles under different lighting and weather conditions, with the drawbacks of a given technology being offset by others. These systems require powerful computational capability to fuse the mass of data, which limits their use to high-end vehicles and robots. INSPEX delivers a low-power, small-size and lightweight environment perception system that is compatible with portable and/or wearable applications. This requires miniaturizing and optimizing existing range sensors of different technologies to meet the user’s requirements in terms of obstacle detection capabilities. These sensors consist of a LiDAR, a time-of-flight sensor, an ultrasound and an ultra-wideband radar with measurement ranges respectively of 10 m, 4 m, 2 m and 10 m. Integration of a data fusion technique is also required to build a model of the user’s surroundings and provide feedback about the localization of harmful obstacles. As primary demonstrator, the INSPEX device will be fixed on a white cane.

scholarly journals Ultra-wideband Radar for Angiography

2020 ◽  
Vol 745 ◽  
pp. 012086
Author(s):  
Abdulhameed Habeeb Alghanimi ◽  
Rashid Ali Fayadh
Keyword(s):  
Ultra Wideband ◽  
Wideband Radar

scholarly journals Validation of a New Contactless and Continuous Respiratory Rate Monitoring Device Based on Ultra-Wideband Radar Technology

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4027
Author(s):  
Timo Lauteslager ◽  
Michal Maslik ◽  
Fares Siddiqui ◽  
Saad Marfani ◽  
Guy D. Leschziner ◽  
...  
Keyword(s):  
Respiratory Rate ◽  
Clinical Sample ◽  
Study Data ◽  
Ultra Wideband ◽  
Clinical Settings ◽  
User Characteristics ◽  
Novel Device ◽  
Gold Standard Reference ◽  
Wideband Radar ◽  
Remote Patient

Respiratory rate (RR) is typically the first vital sign to change when a patient decompensates. Despite this, RR is often monitored infrequently and inaccurately. The Circadia Contactless Breathing Monitor™ (model C100) is a novel device that uses ultra-wideband radar to monitor RR continuously and un-obtrusively. Performance of the Circadia Monitor was assessed by direct comparison to manually scored reference data. Data were collected across a range of clinical and non-clinical settings, considering a broad range of user characteristics and use cases, in a total of 50 subjects. Bland–Altman analysis showed high agreement with the gold standard reference for all study data, and agreement fell within the predefined acceptance criteria of ±5 breaths per minute (BrPM). The 95% limits of agreement were −3.0 to 1.3 BrPM for a nonprobability sample of subjects while awake, −2.3 to 1.7 BrPM for a clinical sample of subjects while asleep, and −1.2 to 0.7 BrPM for a sample of healthy subjects while asleep. Accuracy rate, using an error margin of ±2 BrPM, was found to be 90% or higher. Results demonstrate that the Circadia Monitor can effectively and efficiently be used for accurate spot measurements and continuous bedside monitoring of RR in low acuity settings, such as the nursing home or hospital ward, or for remote patient monitoring.

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