2024
Ross Greer, Laura Fleig, and Shlomo Dubnov. Creativity and Visual Communication from Machine to Musician: Sharing a Score through a Robotic Camera. 13th EAI International Conference: ArtsIT, Interaction, and Game Creation, 2024.
Ross Greer, Bjørk Antoniussen, Andreas Møgelmose, and Mohan M Trivedi. Vision-Language Representations for Safe Autonomous Driving: Novelty Detection, Control Transitions, and Active Learning. ICRA@40.
Ross Greer and Mohan M Trivedi. Integrating Novel Motion Data into Prediction and Planning Systems: A Framework for Active Learning Using Vehicle Trajectories and Dynamics. ICRA@40.
Walter Zimmer, Ross Greer, Xingcheng Zhou, Rui Song, Marc Pavel, Daniel Lehmberg, Ahmed Ghita, Akshay Gopalkrishnan, Mohan Trivedi, and Alois Knoll. Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset. ICRA@40.
Sondos Mohamed, Walter Zimmer, Ross Greer, Ahmed Alaaeldin Ghita, Modesto Castrillón-Santana, Mohan Trivedi, Alois Knoll, Salvatore Mario Carta, and Mirko Marras. Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection. ECCV Workshop on Cooperative Intelligence for Embodied AI, 2024.
Ross Greer, Akshay Gopalkrishnan, Mohan Trivedi. “Measuring Driver Readiness and Control Transitions: Design of Novel Experiments and Vision Algorithms using Real-World Autonomous Driving Studies”. National Academies of Sciences, Engineering, and Medicine: Transportation Review Board, Automated Road Transportation Symposium 2024.
Ross Greer, Mohan Trivedi. Beyond Driver Assistance: Neural Networks Which Learn and Explain Novel Situations and Driver Behavior for Safe Driving in the Open World. National Academies of Sciences, Engineering, and Medicine: Transportation Review Board, Automated Road Transportation Symposium 2024.
Ross Greer, Mathias Viborg Andersen, Andreas Møgelmose, and Mohan Trivedi. Driver Activity Classification Using Generalizable Representations from Vision-Language Models. CVPR Workshop on Vision-Language for Autonomous Driving and Robotics, 2024.
Ross Greer, Bjørk Antoniussen, Andreas Møgelmose, and Mohan M Trivedi. "Language-Driven Active Learning for Diverse Open-Set 3D Object Detection". Under Review.
Ross Greer, Mohan Trivedi. “Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets”. Under Review. [preprint pdf]
Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M Trivedi, Alois C Knoll. "ActiveAnno3D--An Active Learning Framework for Multi-Modal 3D Object Detection," IEEE Intelligent Vehicles Symposium (IV), 2024. [preprint pdf]
Ross Greer, Akshay Gopalkrishnan, Maitrayee Keskar, Mohan Trivedi. "Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics", Pattern Recognition Letters. [pdf]
Maitrayee Keskar, Ross Greer, Akshay Gopalkrishnan, Nachiket Deo, and Mohan Trivedi. “Learning to Look at Internal Structure: Anchor-Free Detection of Vehicle Attributes”. Under Review.
Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, and Mohan Trivedi. “Solving the Missing Frames Problem with Synthetic Data Augmentation: Generating Thermal Images with RGB Cameras”. IEEE Intelligent Vehicles Symposium (IV), 2024.
Afnan Alofi, Ross Greer, Akshay Gopalkrishnan, Mohan M. Trivedi. "Pedestrian Safety by Intent Prediction: A Lightweight LSTM-Attention Architecture and Experimental Evaluations with Real-World Datasets". IEEE Intelligent Vehicles Symposium (IV), 2024.
Ross Greer, Bjørk Antoniussen, Mathias V. Andersen, Andreas Møgelmose, and Mohan Trivedi. “The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration”. Under Review. [preprint pdf]
2023
Ross Greer, Mohan Trivedi. "Ensemble Learning for Fusion of Multiview Vision with Occlusion and Missing Information: Framework and Evaluations with Real-World Data and Applications in Driver Hand Activity Recognition." Under Review. [preprint pdf]
Ross Greer, Akshay Gopalkrishnan, Sumega Mandadi, Pujitha Gunaratne, Mohan M. Trivedi, and Thomas D. Marcotte. "Vision-based Analysis of Driver Activity and Driving Performance Under the Influence of Alcohol" FAST-zero 2023. [pdf]
Akshay Gopalkrishnan, Ross Greer, Maitrayee Keskar, Mohan Trivedi. "Robust Detection, Assocation, and Localization of Vehicle Lights: A Context-Based Cascaded CNN Approach and Evaluations", preprint. [pdf]
Ross Greer, Akshay Gopalkrishnan, Jacob Landgren, Lulua Rakla, Anish Gopalan, and Mohan M. Trivedi, "Robust Traffic Light Detection Using Salience-Sensitive Loss: Computational Framework and Evaluations," IEEE Intelligent Vehicles Symposium (IV), 2023. [pdf]
Ross Greer, Lulua Rakla, Samveed Desai, Akshay Gopalkrishnan, Afnan Alofi, and Mohan M. Trivedi, "Pedestrian Advisories for Enhanced Safety Using Behavior Maps: Computational Framework and Experimental Analysis With Real-World Data," IEEE Intelligent Vehicles Symposium (IV), 2023. [pdf]
Ross Greer, Nachiket Deo, Akshay Rangesh, Pujitha Gunaratne, and Mohan M. Trivedi, "Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Prediction," 27th Enhanced Safety of Vehicles Conference, 2023. [pdf]
Ross Greer, Akshay Gopalkrishnan, Nachiket Deo, and Mohan M. Trivedi, "Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context," 27th Enhanced Safety of Vehicles Conference, 2023. [pdf]
Ross Greer, Lulua Rakla, Samveed Desai, Afnan Alofi, Akshay Gopalkrishnan, and Mohan M. Trivedi, "CHAMP: Crowdsourced, History-Based Advisory of Mapped Pedestrians for Safer Driver Assistance Systems," 27th Enhanced Safety of Vehicles Conference, SSTDC Semi-Finalist, 2023. [pdf]
Ross Greer, Lulua Rakla, Anish Gopalan, and Mohan M. Trivedi, "(Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework," 27th Enhanced Safety of Vehicles Conference, SSTDC Finalist, 2023. [pdf]
2022
Ross Greer and Mohan M. Trivedi, "From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm, Analysis and Evaluations on Diverse Datasets," ICML Workshop on Supervised Learning for Autonomous Driving, 2022. [pdf]
Maitrayee Keskar, Nachiket Deo, Ross Greer, and Mohan M. Trivedi, "A Center-Based Integrated Vehicle Internal and Landmarks Detector," Presentation at IEEE IV ITSIVUE Workshop, 2022. [presentation]
Ross Greer and Mohan M. Trivedi, "From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets," Presentation at IEEE IV 2nd Workshop on Prediction of Pedestrian Behaviors for Automated Driving, 2022. [pdf]
Ross Greer, Jason Isa, Nachiket Deo, Akshay Rangesh and Mohan M. Trivedi, "On Salience-Sensitive Sign Classification in Autonomous Vehicle Path Planning: Experimental Explorations with a Novel Dataset," WACV, Workshop on Hazard Perception in Intelligent Vehicles, 2022. [pdf]
2021
Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne and Mohan M. Trivedi, "Predicting Take-over Time for Autonomous Driving with Real-World Data: Robust Data Augmentation, Models, and Evaluation," In Press. [pdf]
Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne and Mohan M. Trivedi, "Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2021. [pdf]
Ross Greer, Nachiket Deo and Mohan M. Trivedi, "Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss," IEEE Robotics and Automation Letters, 2021. [pdf]