All Outputs (2)

Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset (2023)
Conference Proceeding
Wu, Z., Moemeni, A., Caleb-Solly, P., & Castle-Green, S. (2023). Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset. In 2023 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/ijcnn54540.2023.10191368

A large number of deep learning based object detection algorithms have been proposed and applied in a wide range of domains such as security, autonomous driving and robotics. In practical usage, objects being occluded are common, and can result in re... Read More about Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset.

Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation (2023)
Conference Proceeding
Chen, J., Moemeni, A., & Caleb-Solly, P. (2023). Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation. In HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (644-648). https://doi.org/10.1145/3568294.3580165

Robot teleoperation is being explored in a number of application areas, where combining human adaptive intelligence and high precision of robots can provide access to dangerous or inaccessible places, or augment human dexterity. Using virtual reality... Read More about Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation.