Improving object orientation estimates by considering multiple viewpoints
Sign Up to like & getrecommendations! Published in 2018 at "Autonomous Robots"
DOI: 10.1007/s10514-017-9633-1
Abstract: This article describes a probabilistic approach for improving the accuracy of general object pose estimation algorithms. We propose a histogram filter variant that uses the exploration capabilities of robots, and supports active perception through a… read more here.
Keywords: object orientation; orientation estimates; orientation; estimates considering ... See more keywords
Improving AI object detection in fire scenes through data augmentation
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Occupational and Environmental Hygiene"
DOI: 10.1080/15459624.2025.2499600
Abstract: Abstract Artificial Intelligence (AI) has been widely used to facilitate disaster response. By connecting cameras to AI software, it can help determine the number of firefighters and apparatus, enhancing efficiency on the fireground. However, we… read more here.
Keywords: object detection; fire scenes; improving object; detection fire ... See more keywords
Improving Object Pose Estimation by Fusion With a Multimodal Prior – Utilizing Uncertainty-Based CNN Pipelines for Robotics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3140450
Abstract: Estimating the pose of an object is essential for robot manipulation. In many applications the spatial and geometric relations between the object and the other parts of the world, e.g. the relation between the object… read more here.
Keywords: multimodal prior; pose estimation; robotics; improving object ... See more keywords
Improving object detection in challenging weather for autonomous driving via adversarial image translation
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0333928
Abstract: Vision-based environmental perception is fundamental to autonomous driving, as it enables reliable detection and recognition of diverse objects in complex traffic environments. However, adverse weather conditions (such as rain, fog, and low-light conditions) significantly degrade… read more here.
Keywords: detection; object detection; image; weather ... See more keywords