Ross Greer
Orcid: 0000-0001-8595-0379
According to our database1,
Ross Greer
authored at least 20 papers
between 2021 and 2024.
Collaborative distances:
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Bibliography
2024
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets.
CoRR, 2024
CoRR, 2024
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration.
CoRR, 2024
2023
Comparative Assessment of Markov Models and Recurrent Neural Networks for Jazz Music Generation.
CoRR, 2023
Robust Detection, Assocation, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations.
CoRR, 2023
Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics.
CoRR, 2023
Multi-View Ensemble Learning With Missing Data: Computational Framework and Evaluations using Novel Data from the Safe Autonomous Driving Domain.
CoRR, 2023
CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems.
CoRR, 2023
(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework.
CoRR, 2023
Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction.
CoRR, 2023
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context.
CoRR, 2023
Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023
Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
2022
From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets.
CoRR, 2022
On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022
2021
IEEE Robotics Autom. Lett., 2021
Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation.
CoRR, 2021
Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 13th International Conference on Computer Supported Education, 2021