2021
AAAI
AAAI 2021
Perception Beyond Sensors Under Uncertainty
Abstract
Abstract My research aims to enable spatiotemporal inference in mobile robot perception systems. Specifically, the proposed thesis presents learning-based approaches to the tasks of behavior prediction and occlusion inference that explicitly account for the associated aleatoric and epistemic uncertainty.
🌉
Interdisciplinary Bridge
- Artificial Intelligence and Machine Learning and Robotics
🧭
Keyword Pioneer
- occlusion inference
🐣
Hot Topic Early Bird
- epistemic uncertainty
🐝
Cross-Pollinator
- Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio