Big Development in the Indoor Positioning and Indoor Navigation (IPIN) Market: Researchers have created an Efficient Light Positioning Technology to improve performance of Various Gadgets
For the last decade, engineers have been working on creating sensors and systems that are way more efficient at monitoring indoor surroundings. Indoor positioning systems, which serve as the foundation for these tools, automatically determine the position of items with high accuracy and low latency, enabling new Internet-of-Things (IoT) applications like robotics, autonomous driving, VR/AR, and so on.
CurveLight, an accurate and efficient light positioning technology, was recently developed by researchers. Their technique could be utilized to improve the performance of autonomous vehicles, robots, and other modern technologies, making it a significant contribution to the Indoor Positioning And Indoor Navigation (IPIN) Market.
The signal transmitter in CurveLight, according to the team, incorporates an infrared LED that is covered by a hemispheric and movable shade. As the shade rotates, the transmitter emits a unique sequence of light signals for each place in the protected space. A photosensitive diode in the receiver detects the light signals.
LED bulbs can be used as landmarks in recently developed positioning systems to determine the position of things (i.e., by analyzing their unique light-related characteristics). Some inventors did not limit their use to LED bulbs to make them easier to deploy in real-world settings. They instead designed the systems to capture lamp-specific information and utilize it like a fingerprint.
While some of these technologies have shown potential, they usually require a lot of sensing and processing resources. Furthermore, these systems must continuously acquire and analyze photos to function appropriately, posing a privacy risk to users.
Light is used to detect and determine the position of objects in the new positioning system. Its components comprise an infrared (IR) chip-based transmitter mounted on the ceiling with its base positioned horizontally. Because the LED bead is so small (about 2 mm x 2 mm), it can be treated as a point light source. A microcontroller (MCU) in the transmitter allows the LED to flash at a specified rate to identify the emitted light signals from ambient light.
In addition, the light placement system developed provides many advantages over previous methods. To begin with, it is quite precise, with an average accuracy of 2–3cm across in typical indoor settings. Second, it has low latency, with a single transmitter attaining a 36 Hz update rate.
Furthermore, the approach is practical and simple to implement. The researchers put it through a series of experiments. They used it in various real-world scenarios as part of their research, demonstrating its use in improving autonomous driving and robotic navigation.
In the future, a growing number of roboticists and developers may use CurveLight to boost the effectiveness of robots, self-driving automobiles, and other autonomous systems.
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