Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on May 3, 2016
Autonomous Robotic Assessments of Energy (AuRAE) are meant to make the energy audit process repeatable, more effective, and less costly. By automating the process, data will be more rich, consistent, and cost less to collect.
In the video, a lighting assessment package prototype is demonstrated. The package is mounted on a remotely controlled ground robot (bottom left). As the robot is driven around, a laser scanner is used to map its surroundings and determine its location while software builds a map (middle screen). A camera captures images of the ceiling which undergo image analysis to determine the presence of lights (upper right). With a laser range finder and some coordinate transformations, the position of the lights can be determined, shown as yellow spheres on the map. A spectrometer is used to determine the type of light. Lighting level measurements are concurrently taken to recreate a lighting level map of the area in post-processing.
More details can be found in:
Bay, C.J., Terrill, T.J., and Rasmussen, B.P., “Autonomous Lighting Audits: Part 1 – Building Navigation and Mapping,” in Proceedings of the ASME 2014 Dynamic Systems and Control Conference, San Antonio, TX, Oct. 2014.
Terrill, T.J., Bay, C.J., and Rasmussen, B.P., “Autonomous Lighting Audits: Part 2 – Light Identification and Analysis,” in Proceedings of the ASME 2014 Dynamic Systems and Control Conference, San Antonio, TX, Oct. 2014.
Bay, C.J., and Rasmussen, B.P., “Simulation and Validation of Interior and Exterior Navigational Strategies for Autonomous Robotic Assessments of Energy,” in Proceedings of the 2015 American Control Conference, ACC2015-1427, Chicago, IL, July 1-3, 2015.