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Chi Hay Tong

University of Toronto
University of Oxford

33

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975

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Learn from experience: probabilistic prediction of perception performance to avoid failure:

2018 The International Journal of Robotics Research
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Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks

2017 ICRA | International Conference on Robotics and Automation
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Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks

2017 ICRA | International Conference on Robotics and Automation
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Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks

2017 | IEEE International Conference on Robotics and Automation
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Fit for Purpose? Predicting Perception Performance Based on Past Experience

2016 ISER | International Symposium on Experimental Robotics
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Wrong Today, Right Tomorrow: Experience-Based Classification for Robot Perception

2016 FSR | Field and Service Robotics
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Off the beaten track: Predicting localisation performance in visual teach and repeat

2016 ICRA | International Conference on Robotics and Automation
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Into Darkness: Visual Navigation Based on a Lidar-Intensity-Image Pipeline

2016
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Continuous-time batch trajectory estimation using temporal basis functions

2015 The International Journal of Robotics Research
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Batch nonlinear continuous-time trajectory estimation as exactly sparse Gaussian process regression

2015 Autonomous Robots
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