Shadow-based Light Detection for HDR Environment Maps

2020 ◽  
Author(s):  
Andrew Chalmers ◽  
Taehyun Rhee
Keyword(s):  
Light Detection ◽  
Environment Maps

scholarly journals Sliding Window Mapping for Omnidirectional RGB-D Sensors

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5121 ◽  
Author(s):  
Nicolas Dalmedico ◽  
Marco Antônio Simões Simões Teixeira ◽  
Higor Barbosa Barbosa Santos ◽  
Rafael de Castro Martins Nogueira ◽  
Lúcia Valéria Ramos de Ramos de Arruda ◽  
...  
Keyword(s):  
Sliding Window ◽  
Human Detection ◽  
Light Detection And Ranging ◽  
Central Axis ◽  
Light Detection ◽  
Mapping Strategy ◽  
3D Data ◽  
Surface Data ◽  
Environment Maps ◽  
Local Map

This paper presents an omnidirectional RGB-D (RGB + Distance fusion) sensor prototype using an actuated LIDAR (Light Detection and Ranging) and an RGB camera. Besides the sensor, a novel mapping strategy is developed considering sensor scanning characteristics. The sensor can gather RGB and 3D data from any direction by toppling in 90 degrees a laser scan sensor and rotating it about its central axis. The mapping strategy is based on two environment maps, a local map for instantaneous perception, and a global map for perception memory. The 2D local map represents the surface in front of the robot and may contain RGB data, allowing environment reconstruction and human detection, similar to a sliding window that moves with a robot and stores surface data.

Fast, Automated Indoor Light Detection, Classification, and Measurement

2018 ◽  
Vol 2018 (15) ◽  
pp. 271-1-2714
Author(s):  
Craig Hiller ◽  
Avideh Zakhor
Keyword(s):  
Light Detection

HSI COLOR CONVERSION AND HOG FEATURE EXTRACTION IN TRAFFIC LIGHT DETECTION USING AdaBSF

2017 ◽  
Vol 5 (3) ◽  
pp. 20
Author(s):  
JEBISHA J ◽  
MONISHA V ◽  
JEMI B. FEMILA ◽  
◽  
◽  
...  
Keyword(s):  
Feature Extraction ◽  
Traffic Light ◽  
Light Detection ◽  
Color Conversion

scholarly journals Spectrum Awareness for Cognitive Radios Supported by Radio Environment Maps: Zonal Approach

2021 ◽  
Vol 11 (7) ◽  
pp. 2910
Author(s):  
Paweł Kaniewski ◽  
Janusz Romanik ◽  
Edward Golan ◽  
Krzysztof Zubel
Keyword(s):  
Situational Awareness ◽  
Cognitive Radios ◽  
Field Tests ◽  
Radio Networks ◽  
Map Construction ◽  
Environment Map ◽  
Construction Techniques ◽  
Interpolation Techniques ◽  
Environment Maps ◽  
Radio Environment Maps

In this paper, we present the concept of the Radio Environment Map (REM) designed to ensure electromagnetic situational awareness of cognitive radio networks. The map construction techniques based on spatial statistics are presented. The results of field tests done for Ultra High Frequency (UHF) range with different numbers of sensors are shown. Exemplary maps with selected interpolation techniques are presented. Control points where the signal from licensed users is correctly estimated are identified. Finally, the map quality is assessed, and the most promising interpolation techniques are selected.

Self-driven near-UV and visible light detection based on ITO/Gd-doped BiFeO3/Au heterostructure

2021 ◽  
Author(s):  
Pin-Yi Chen ◽  
Cheng-Sao Chen ◽  
Yueh-Sheng Chiang ◽  
Yi-Shin Jou ◽  
R.R. Chien ◽  
...  
Keyword(s):  
Visible Light ◽  
Light Detection
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