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Found 6 papers, 4 papers with code
Challenges in Visual Anomaly Detection for Mobile Robots
We consider the task of detecting anomalies for autonomous mobile robots based on vision.
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots
We consider the problem of building visual anomaly detection systems for mobile robots.
Sensing Anomalies as Potential Hazards: Datasets and Benchmarks
We consider the problem of detecting, in the visual sensing data stream of an autonomous mobile robot, semantic patterns that are unusual (i. e., anomalous) with respect to the robot's previous experience in similar environments.
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization
We consider the task of visually estimating the pose of a human from images acquired by a nearby nano-drone; in this context, we propose a data augmentation approach based on synthetic background substitution to learn a lightweight CNN model from a small real-world training set.
Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset
We introduce a new outdoor urban 3D pointcloud dataset, covering a total area of 2. 7 $km^2$, sampled from three Swiss cities with different characteristics.
Vision-based Control of a Quadrotor in User Proximity: Mediated vs End-to-End Learning Approaches
We consider the task of controlling a quadrotor to hover in front of a freely moving user, using input data from an onboard camera.
