5 papers
SMc2f: Robust Scenario Mining for Robotic Autonomy from Coarse to Fine
Yifei Chen, Ross Greer
The safety validation of autonomous robotic vehicles hinges on systematically testing their planning and control stacks against rare, safety-critical scenarios. Mining these long-t…
Technical Report for Argoverse2 Scenario Mining Challenges on Iterative Error Correction and Spatially-Aware Prompting
Yifei Chen, Ross Greer
Scenario mining from extensive autonomous driving datasets, such as Argoverse 2, is crucial for the development and validation of self-driving systems. The RefAV framework represen…
Evaluating Driver Perceptions of Integrated Safety Monitoring Systems for Alcohol Impairment and Distraction
RoshikNagaSai Patibandla, Ross Greer
The increasing number of accidents caused by alcohol-impaired driving has prompted the development of integrated safety systems in vehicles to monitor driver behavior and prevent c…
Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation
Ross Greer, Alisha Ukani, Katherine Izhikevich +3
Document alignment and registration play a crucial role in numerous real-world applications, such as automated form processing, anomaly detection, and workflow automation. Traditio…
Automated Data Curation Using GPS & NLP to Generate Instruction-Action Pairs for Autonomous Vehicle Vision-Language Navigation Datasets
Guillermo Roque, Erika Maquiling, Jose Giovanni Tapia Lopez +1
Instruction-Action (IA) data pairs are valuable for training robotic systems, especially autonomous vehicles (AVs), but having humans manually annotate this data is costly and time…