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Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture.

, , , and . J. Imaging, 2 (1): 6 (2016)

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Automated Detection and Recognition of Wildlife Using Thermal Cameras., , , and . Sensors, 14 (8): 13778-13793 (2014)Using Deep Learning to Challenge Safety Standard for Highly Autonomous Machines in Agriculture., , , and . J. Imaging, 2 (1): 6 (2016)Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation., , , , , and . Frontiers Robotics AI, (2018)Object Detection and Terrain Classification in Agricultural Fields Using 3D Lidar Data., , and . ICVS, volume 9163 of Lecture Notes in Computer Science, page 188-197. Springer, (2015)Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis., , , , and . J. Imaging, 3 (4): 59 (2017)DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field., , , , and . Sensors, 16 (11): 1904 (2016)The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture., , , , , , , , and . CVPR Workshops, page 2676-2684. Computer Vision Foundation / IEEE, (2019)Towards an Open Software Platform for Field Robots in Precision Agriculture., , , , , and . Robotics, 3 (2): 207-234 (2014)Robotic Design Choice Overview Using Co-Simulation and Design Space Exploration., , and . Robotics, 4 (4): 398-420 (2015)