AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

This Python project demonstrates Occupancy Grid Mapping in robotics and autonomous navigation using real-world data from the Orebro dataset. It processes odometry and laser sensor readings to create ...

A DTECH Midwest panel discusses AI use cases at the grid edge. From left to right: Marcelo Sandoval, Landys + Gyr; Jeremy Konkle, Timpont REMC; and Moderator Fei Ding, NREL. Artificial intelligence ...

Abstract: Optimizing robot poses and the map simultaneously has been shown to provide more accurate SLAM results. However, for non-feature based SLAM approaches, directly optimizing all the robot ...

Understanding occupancy and vacancy in Detroit is a constant battle in comprehending data. The known crises of low home mortgage origination, large-scale evictions, and property speculation make ...

Designed to create an occupancy grid, also known as an obstacle map, from detections sourced from ultrasonic sensors mounted on a robot. This map is crucial for robotic navigation and environment ...

Abstract: Advanced Driver Assistance Systems (ADASs), such as autonomous driving, require the continuous computation and update of detailed environment maps. Today's standard processors in automotive ...