Ross Greer

Orcid: 0000-0001-8595-0379

According to our database1, Ross Greer authored at least 20 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

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

ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection.
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

Quantifying Repetition in Symbolic Music using Lempel-Ziv Compression.
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
Trajectory Prediction in Autonomous Driving With a Lane Heading Auxiliary Loss.
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

Restoring Eye Contact to the Virtual Classroom with Machine Learning.
Proceedings of the 13th International Conference on Computer Supported Education, 2021


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