Long-Distance Loop Closure Using General Object Landmarks. - Andrew Holliday; Gregory Dudek (CoRR, 2017)

Speedup of deep learning ensembles for semantic segmentation using a model compression technique. - Andrew Holliday; Mohammadamin Barekatain; Johannes Laurmaa; Chetak Kandaswamy; Helmut Prendinger (Comput. Vis. Image Underst., 2017)

Gaze Selection for Enhanced Visual Odometry During Navigation. - Travis Manderson; Andrew Holliday; Gregory Dudek (CRV, 2018)

Scale-Robust Localization Using General Object Landmarks. - Andrew Holliday; Gregory Dudek (IROS, 2018)

Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation. - Andrew Holliday; Gregory Dudek (CRV, 2020)

Scale-invariant localization using quasi-semantic object landmarks. - Andrew Holliday; Gregory Dudek (Auton. Robots, 2021)

Augmenting Transit Network Design Algorithms with Deep Learning. - Andrew Holliday; Gregory Dudek (ITSC, 2023)

Neural Bee Colony Optimization: A Case Study in Public Transit Network Design. - Andrew Holliday; Gregory Dudek (CoRR, 2023)

A Neural-Evolutionary Algorithm for Autonomous Transit Network Design. - Andrew Holliday; Gregory Dudek (ICRA, 2024)

Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model. - Faraz Lotfi; Khalil Virji; Farnoosh Faraji; Lucas Berry; Andrew Holliday; David Meger; Gregory Dudek (ICRA, 2024)

Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning. - Andrew Holliday; Ahmed El-Geneidy; Gregory Dudek (CoRR, 2024)

Applications of deep reinforcement learning to urban transit network design. - Andrew Holliday (CoRR, 2025)