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2019 All Categories [29]

Application of Metabolomics to Osteoarthritis: from Basic Science to the Clinical Approach

Showiheen, S. A. A., Sun, A. R., Wu, X., Crawford, R., Xiao, Y., Wellard, R. M., & Prasadam, I. (2019). Application of Metabolomics to Osteoarthritis: from Basic Science to the Clinical Approach. Current Rheumatology Reports, 21(6), 26. https://doi.org/10.1007/s11926-019-0827-8

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Picking the right robotics challenge

Leitner, J. (2019). Picking the right robotics challenge. Nature Machine Intelligence, 1(3), 162–162. https://doi.org/10.1038/s42256-019-0031-6

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Quickest Detection and Identification of Intermittent Signals with Application to Vision Based Aircraft Detection

James, J., Ford, J. J., & Molloy, T. L. (2019). Quickest Detection and Identification of Intermittent Signals with Application to Vision Based Aircraft Detection. Retrieved from http://arxiv.org/abs/1903.03270

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On the Informativeness of Measurements in Shiryaev’s Bayesian Quickest Change Detection

Ford, J. J., James, J., & Molloy, T. L. (2019). On the Informativeness of Measurements in Shiryaev’s Bayesian Quickest Change Detection. Retrieved from http://arxiv.org/abs/1903.03283

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Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid

James, J., Ford, J. J., & Molloy, T. L. (2019). Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid. Retrieved from http://arxiv.org/abs/1903.03275

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Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization

Wu, L., Crawford, R., & Roberts, J. (2019). Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization. Retrieved from http://arxiv.org/abs/1902.00198

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Dense-ArthroSLAM: dense intra-articular 3D reconstruction with robust localization prior for arthroscopy

Marmol, A., Banach, A., & Peynot, T. (2019). Dense-ArthroSLAM: dense intra-articular 3D reconstruction with robust localization prior for arthroscopy. IEEE Robotics and Automation Letters, 4(2), 918–925. https://doi.org/10.1109/LRA.2019.2892199

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Optimal Dexterity for a Snake-like Surgical Manipulator using Patient-specific Task-space Constraints in a Computational Design Algorithm

Razjigaev, A., Pandey, A. K., Roberts, J., & Wu, L. (2019). Optimal Dexterity for a Snake-like Surgical Manipulator using Patient-specific Task-space Constraints in a Computational Design Algorithm. Retrieved from http://arxiv.org/abs/1903.02217

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Modular field robot deployment for inspection of dilapidated buildings

Cordie, T. P., Bandyopadhyay, T., Roberts, J., Dunbabin, M., Greenop, K., Dungavell, R., & Steindl, R. (2019). Modular field robot deployment for inspection of dilapidated buildings. Journal of Field Robotics, rob.21872. https://doi.org/10.1002/rob.21872

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Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion

Tsai, D., Dansereau, D. G., Peynot, T., & Corke, P. (2019). Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion. IEEE Robotics and Automation Letters, 4(2), 177–184. https://doi.org/10.1109/LRA.2018.2884765

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On the choice of grasp type and location when handing over an object

Cini, F., Ortenzi, V., Corke, P., & Controzzi, M. (2019). On the choice of grasp type and location when handing over an object. Science Robotics, 4(27), eaau9757. https://doi.org/10.1126/scirobotics.aau9757

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Learning to Fuse Multiscale Features for Visual Place Recognition

Mao, J., Hu, X., He, X., Zhang, L., Wu, L., & Milford, M. J. (2019). Learning to Fuse Multiscale Features for Visual Place Recognition. IEEE Access, 7, 5723–5735. https://doi.org/10.1109/ACCESS.2018.2889030

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SASSE: Scalable and Adaptable 6-DOF Pose Estimation

Le, H., Hoang, T., Zhang, Q., Do, T.-T., Eriksson, A., & Milford, M. (2019). SASSE: Scalable and Adaptable 6-DOF Pose Estimation. Retrieved from https://arxiv.org/abs/1902.01549

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LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles

Zeng, F., Jacobson, A., Smith, D., Boswell, N., Peynot, T., & Milford, M. (2019). LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles. Retrieved from https://arxiv.org/abs/1903.08313

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Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions

Zaffar, M., Khaliq, A., Ehsan, S., Milford, M., & McDonald-Maier, K. (2019). Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions. Retrieved from https://arxiv.org/abs/1903.09107

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Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods

Hausler, S., Jacobson, A., & Milford, M. (2019). Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods. IEEE Robotics and Automation Letters, 4(2), 1924–1931. https://doi.org/10.1109/LRA.2019.2898427

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Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?

Zaffar, M., Khaliq, A., Ehsan, S., Milford, M., Alexis, K., & McDonald-Maier, K. (2019). Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics? Retrieved from http://arxiv.org/abs/1904.07967

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Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors

Rahman, Q. M., Sünderhauf, N., & Dayoub, F. (2019). Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors. Retrieved from http://arxiv.org/abs/1903.06391

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The Probabilistic Object Detection Challenge

Skinner, J., Hall, D., Zhang, H., Dayoub, F., & Sünderhauf, N. (2019). The Probabilistic Object Detection Challenge. Retrieved from http://arxiv.org/abs/1903.07840

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Semantic–geometric visual place recognition: a new perspective for reconciling opposing views

Garg, S., Suenderhauf, N., & Milford, M. (2019). Semantic–geometric visual place recognition: a new perspective for reconciling opposing views. The International Journal of Robotics Research, 027836491983976. https://doi.org/10.1177/0278364919839761

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Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation

Garg, S., Babu, M., Dharmasiri, T., Hausler, S., Suenderhauf, N., Kumar, S., Drummond, T., & Milford, M. (2019). Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation. Retrieved from http://arxiv.org/abs/1902.07381

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Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks

Jakes, D., Ge, Z., & Wu, L. (2019). Model-less Active Compliance for Continuum Robots using Recurrent Neural Networks. Retrieved from http://arxiv.org/abs/1902.08943

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Feature-based recursive observer design for homography estimation and its application to image stabilization

Hua, M.-D., Trumpf, J., Hamel, T., Mahony, R., & Morin, P. (2019). Feature-based recursive observer design for homography estimation and its application to image stabilization. Asian Journal of Control. https://doi.org/10.1002/asjc.2012

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An Adaptive Markov Random Field for Structured Compressive Sensing

Suwanwimolkul, S., Zhang, L., Gong, D., Zhang, Z., Chen, C., Ranasinghe, D. C., & Qinfeng Shi, J. (2019). An Adaptive Markov Random Field for Structured Compressive Sensing. IEEE Transactions on Image Processing, 28(3), 1556–1570. http://doi.org/10.1109/TIP.2018.2878294

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One-step adaptive markov random field for structured compressive sensing

Suwichaya Suwanwimolkul, Lei Zhang, Damith C. Ranasinghe, Qinfeng Shi, One-step adaptive markov random field for structured compressive sensing, Signal Processing, Volume 156, 2019,Pages 116-144, ISSN 0165-1684, https://doi.org/10.1016/j.sigpro.2018.10.020.

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Recovering Faces From Portraits with Auxiliary Facial Attributes

*Shiri, F., Yu, X., Porikli, F., Hartley, R., & Koniusz, P. (2019). Recovering Faces From Portraits with Auxiliary Facial Attributes. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 406–415). Waikoloa Village, Hawaii, United States: IEEE. http://doi.org/10.1109/WACV.2019.00049

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On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC

Tran, N.-T., Le Tan, D.-K., Doan, A.-D., Do, T.-T., Bui, T.-A., Tan, M., & Cheung, N.-M. (2019). On-Device Scalable Image-Based Localization via Prioritized Cascade Search and Fast One-Many RANSAC. IEEE Transactions on Image Processing, 28(4), 1675–1690. http://doi.org/10.1109/TIP.2018.2881829

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QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM

Nicholson, L., Milford, M., & Sunderhauf, N. (2019). QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM. IEEE Robotics and Automation Letters, 4(1), 1–8. http://doi.org/10.1109/LRA.2018.2866205

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Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion

Tsai, D., Dansereau, D. G., Peynot, T., & Corke, P. (2019). Distinguishing Refracted Features Using Light Field Cameras With Application to Structure From Motion. IEEE Robotics and Automation Letters, 4(2), 177–184. http://doi.org/10.1109/LRA.2018.2884765

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