2 citations · 2 across the 4 of their papers we have counts for
4 papers
ControlledShifts: Towards Standardizing Robustness Evaluation in Trajectory Prediction Under Distribution Shifts
Ingrid Navarro, Pablo Ortega-Kral, Yutong Duan +2
Trajectory prediction is central to safety in autonomous driving, yet learning-based predictors tend to degrade sharply when encountering scenarios poorly represented by their trai…
ScenarioCharacterization: A Modular Toolkit for Characterizing Safety across Trajectory Datasets
Ingrid Navarro, Yutong Duan, Jonathan Francis +1
We introduce ScenarioCharacterization, an open-source framework for automated, dataset-agnostic profiling of driving scenarios in trajectory datasets. Our framework is packaged as…
Core Challenges in Embodied Vision-Language Planning
Jonathan Francis, Nariaki Kitamura, Felix Labelle +3
Recent advances in the areas of Multimodal Machine Learning and Artificial Intelligence (AI) have led to the development of challenging tasks at the intersection of Computer Vision…
Learned Tree Search for Long-Horizon Social Robot Navigation in Shared Airspace
Ingrid Navarro, Jay Patrikar, Joao P. A. Dantas +4
The fast-growing demand for fully autonomous aerial operations in shared spaces necessitates developing trustworthy agents that can safely and seamlessly navigate in crowded, dynam…