1 citations · 2 across the 5 of their papers we have counts for
5 papers
Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
Shireen Kudukkil Manchingal, Armand Amaritei, Mihir Gohad +4
Autonomous Vehicle (AV) perception systems have advanced rapidly in recent years, providing vehicles with the ability to accurately interpret their environment. Perception systems…
Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'
Shireen Kudukkil Manchingal, Andrew Bradley, Julian F. P. Kooij +3
Despite AI's impressive achievements, including recent advances in generative and large language models, there remains a significant gap in the ability of AI systems to handle unce…
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction
Izzeddin Teeti, Aniket Thomas, Munish Monga +5
We present ASTRA (A} Scene-aware TRAnsformer-based model for trajectory prediction), a light-weight pedestrian trajectory forecasting model that integrates the scene context, spati…
ROAD-Waymo: A Large-Scale Action Awareness Dataset for Autonomous Driving
Salman Khan, Izzeddin Teeti, Reza Javanmard Alitappeh +5
Autonomous Vehicle (AV) perception systems require more than simply seeing, via e.g., object detection or scene segmentation. They need a holistic understanding of what is happenin…
A Hybrid Graph Network for Complex Activity Detection in Video
Salman Khan, Izzeddin Teeti, Andrew Bradley +2
Interpretation and understanding of video presents a challenging computer vision task in numerous fields - e.g. autonomous driving and sports analytics. Existing approaches to inte…