Abstract: We present a low-cost method for detecting blind spots in front of the ego vehicle. In low visibility conditions, blind spot estimation is crucial to avoid the risk of pedestrians or ...

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 ...

Abstract: High-definition (HD) maps are essential for autonomous vehicles. A promising approach to automated generation of HD maps is occupancy grid mapping using vehicle-borne light detection and ...

Subject-to-subject variability is a common challenge in generalizing neural data models across subjects, discriminating subject-specific and inter-subject features in large neural datasets, and ...