scholarly journals Session 7 Overview: Imagers and Range Sensors

2021 ◽  
Author(s):  
Vyshnavi Suntharalingam ◽  
Calvin Yi-Ping Chao ◽  
Bruce Rae
Keyword(s):  
Range Sensors

Range sensors on marble surfaces: quantitative evaluation of artifacts

2009 ◽  
Author(s):  
Gabriele Guidi ◽  
Fabio Remondino ◽  
Michele Russo ◽  
Alessandro Spinetti
Keyword(s):  
Quantitative Evaluation ◽  
Range Sensors

Laser Triangulation Range Sensors: A Study of Performance Limitations

1992 ◽  
Vol 4 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Michael Buzinski ◽  
Alan Levine ◽  
Warren H. Stevenson
Keyword(s):  
Laser Triangulation ◽  
Performance Limitations ◽  
Range Sensors

scholarly journals Environment Mapping Robot Using Supersonic Sensor

1999 ◽  
Vol 11 (6) ◽  
pp. 468-472
Author(s):  
Masafumi Uchida ◽  
◽  
Tanaka Hisaya ◽  
Hideto Ide ◽  
Keyword(s):  
Computer Simulation ◽  
Path Planning ◽  
Autonomous Robot ◽  
Working Environment ◽  
Occupancy Grid ◽  
Environment Map ◽  
Planning Algorithm ◽  
And Performance ◽  
Path Planning Algorithm ◽  
Range Sensors

We studied an automapping algorithm for an autonomous robot having ultrasonic range sensors. A robot with a working environment map operates smoothly. The robot consisted of an automapping algorithm using ultrasonic range sensors and a path planning algorithm. Ultrasonic range sensors are basic, inexpensive, and compact. We proposed an automapping algorithm introducing a parameter, valid length, for a robot with ultrasonic range sensors. The map was based on an occupancy grid. Computer simulation confirmed the effectiveness of introducing valid length in mapping by an autonomous robot. We discuss proposed distinctions and performance.

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 Modeling Detection Statistics in Feature-Based Robotic Navigation for Range Sensors

Navigation ◽  
2018 ◽  
Vol 65 (3) ◽  
pp. 297-318 ◽  
Author(s):  
Felipe Inostroza ◽  
Martin Adams ◽  
Keith Leung
Keyword(s):  
Robotic Navigation ◽  
Feature Based ◽  
Range Sensors
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