The Technical Terrain of Capturing Data within Mobile Robotics
I want to take you with me on the journey of making Impact with Data in the domain of mobile robotics. The focus of today’s article is on the technologies involved in capturing data with sensors mounted on the vehicle.
Welcome back to the second installment of the ongoing DIVI series, where we journey from Data to Impact in the world of automating mobile robots. On the public road, moving from L2 ADAS systems to hands-off, eyes-off autonomous driving applications. But also, AMRs driving in a mixed traffic warehouse and drones flying autonomously in the air.
In the previous post, I explored the definition and characteristics of ‘Data’ in this realm, focusing on the crucial role of sensor data from LIDAR, RADAR, and cameras. Today, I delve into the nuances of data capture technologies, each with unique capabilities and challenges, and consider their implications in the broader context of automation, cybersecurity, and data utilization.
Unveiling Sensor Technologies
LIDAR: Light Detection and Ranging, or LIDAR, has revolutionized data capture. It uses laser light to measure distances. This technology, pivotal in creating detailed environmental maps, has a significant drawback: cost. Despite its precision, the expense of LIDAR sensors remains a…
