activity
20172024
most citedSalient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context

7 citations · 25 across the 14 of their papers we have counts for

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14 papers · 1 filter

cs.CV2024

Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras

Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose +1

Advanced Driver Assistance Systems (ADAS) in intelligent vehicles rely on accurate driver perception within the vehicle cabin, often leveraging a combination of sensing modalities.…

cs.CV20243 cited

Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets

Ross Greer, Mohan Trivedi

This research explores the integration of language embeddings for active learning in autonomous driving datasets, with a focus on novelty detection. Novelty arises from unexpected…

cs.CV20243 cited

The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration

Ross Greer, Bjørk Antoniussen, Mathias V. Andersen +2

Active learning strategies for 3D object detection in autonomous driving datasets may help to address challenges of data imbalance, redundancy, and high-dimensional data. We demons…

cs.CV20231 cited

Vision-based Analysis of Driver Activity and Driving Performance Under the Influence of Alcohol

Ross Greer, Akshay Gopalkrishnan, Sumega Mandadi +3

About 30% of all traffic crash fatalities in the United States involve drunk drivers, making the prevention of drunk driving paramount to vehicle safety in the US and other locatio…

cs.CV2023

Robust Detection, Association, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations

Akshay Gopalkrishnan, Ross Greer, Maitrayee Keskar +1

Vehicle light detection, association, and localization are required for important downstream safe autonomous driving tasks, such as predicting a vehicle's light state to determine…

cs.CV2023

Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics

Ross Greer, Akshay Gopalkrishnan, Maitrayee Keskar +1

This paper explores the representation of vehicle lights in computer vision and its implications for various tasks in the field of autonomous driving. Different specifications for…