The 2023 AUVSI XPONENTIAL conference for uncrewed and robotic technology is scheduled to occur May 8-11, 2023, in Denver, Colorado.
The event includes keynote speakers, breakout sessions, workshops, and an exhibition hall.
Track themes for the breakout sessions include data foundation, technical development, operationalizing autonomy, policy and regulation, public engagement, realizing autonomy, drone responders and public safety, defense, and enterprise and government solutions.
For machine vision and imaging professionals, related educational offerings include sessions on beyond the visual line of sight (BLOVS), LiDAR and multi-sensor fusion, designing workflows for autonomous drones, mapping of unknown environments, visual situational awareness, and vision-based positioning for unmanned aerial systems.
In the exhibit hall, companies will be showcasing technologies across air, ground, and maritime domains, including companies marketing platforms (such as autonomous vehicles or ground robotics) components and sensors (such as cameras and LiDAR sensors) and solutions and services (such as consulting and software).
Below are some sessions related to vision/imaging a link to the exhibitor list for AUVSI XPONENTIAL 2023.
The Next Generation of Precision Agriculture
Industry experts will discuss how new technology is resulting in information on the variability in crop health resulting in higher yields using fewer resources.
Tuesday, May 9, 2023, 11:30-11:55 am, Innovation Theater
The Next Frontier: Autonomy and Edge Sensing
A panel will discuss computing at the edge or “edge sensing,” which involves combining different types of sensors to obtain massive amounts of information and process it in real-time, without having to go to the cloud. They will cover how to combine sensor technologies (optical, Lidar, radar, RF) with AI to enable the full potential of autonomy including artificial vision.
Tuesday, May 9, 2023, 2:00-2:50 pm, Room 108
LiDAR-Based Multi-Sensor Fusion for 3D Situation Awareness
The speaker will describe novel techniques for performing multimodal 3D real-time mapping, based on LIDAR, for any environment (land, air, and sea).
Tuesday, May 9, 2023, 3:30-3:55 pm, Room 108
Visual Situation Awareness: Detect and Avoid Using a Monocular Camera
To reach various levels of autonomy, unmanned aerial vehicles need to have a full understanding of their surroundings. Like ADAS systems in cars, the solution will require imaging sensors such as cameras and LiDARs. The speaker will discuss how monocular camera systems are involved in this task, especially for small and medium sized unmanned aerial vehicles.
Tuesday, May 9, 2023, 2023, 3:30-3:55 pm.
Room 110/112
Bottom Line Impact: Inspection Automation Case Studies from Four Industry Giants
Speakers from Koch Industries, Vistra Corp, ConocoPhilips and Florida Power & Light will discuss how they're enhancing productivity while boosting safety and sustainability. Leveraging robotics and AI, these companies are automating inspections of their facilities.
Wednesday, May 10, 2023, 11:00-11:45 am
Room 201
Northstar: Vision-based Positioning
Lockheed Martin Skunk Works CDL Systems in Calgary, Alberta, is currently developing Lockheed Martin Northstar, an alternative position, navigation, and timing (A-PNT) solution intended to provide location estimates in the absence of satellite-based localization. Northstar is a vision-based algorithm, using a simultaneous localization and mapping (SLAM) engine that leverages overlapping images to compute a vehicle's position in real-time.
Wednesday, May 10, 2023, 2023, 1:00-1:45 pm
Room 203
Autonomous Exploration and Mapping of Unknown Environments with UAS
Southwest Research Institute (SwRI) has developed technologies to enable unmanned aerial systems (UAS) to autonomously explore and map unknown environments. The presentation will summarize the development of simultaneous localization and mapping (SLAM), world modeling, and exploration-based planning algorithms to facilitate navigation in and mapping of these environments.
Wednesday, May 10, 2023, 3:30-3:55 pm
Room 110/112
