Search Results - "Douillard, Bertrand"

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    Visual ground segmentation by radar supervision by Milella, Annalisa, Reina, Giulio, Underwood, James, Douillard, Bertrand

    Published in Robotics and autonomous systems (01-05-2014)
    “…Imaging sensors are being increasingly used in autonomous vehicle applications for scene understanding. This paper presents a method that combines radar and…”
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    Journal Article
  3. 3

    MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction by Varadarajan, Balakrishnan, Hefny, Ahmed, Srivastava, Avikalp, Refaat, Khaled S., Nayakanti, Nigamaa, Cornman, Andre, Chen, Kan, Douillard, Bertrand, Lam, Chi Pang, Anguelov, Dragomir, Sapp, Benjamin

    “…Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving. Applying deep learning to this…”
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    Conference Proceeding
  4. 4

    An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition by Lee, Kuan-Hui, Tagawa, Takaaki, Pan, Jia-En M., Gaidon, Adrien, Douillard, Bertrand

    “…Vehicle taillight recognition is an important application for automated driving, especially for intent prediction of ado vehicles and trajectory planning of…”
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    Conference Proceeding
  5. 5

    Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets by Johnson-Roberson, Matthew, Bryson, Mitch, Douillard, Bertrand, Pizarro, Oscar, Williams, Stefan B.

    Published in Computer vision and image understanding (01-02-2015)
    “…•We model human interest on 3D models using multi-touch interactions from tablets.•We create a crowdsourcing system to gather interaction data from thousands…”
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    Journal Article
  6. 6

    Small body surface mobility with a limbed robot by Helmick, Daniel, Douillard, Bertrand, Bajracharya, Max

    “…This paper describes the development of hardware, software, and algorithms for a prototype limbed robot capable of surface mobility on small bodies (asteroids…”
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    Conference Proceeding
  7. 7

    Shared environment representation for a human-robot team performing information fusion by Kaupp, Tobias, Douillard, Bertrand, Ramos, Fabio, Makarenko, Alexei, Upcroft, Ben

    Published in Journal of field robotics (01-11-2007)
    “…This paper addresses the problem of building a shared environment representation by a human‐robot team. Rich environment models are required in real…”
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    Journal Article
  8. 8

    Track-based self-supervised classification of dynamic obstacles by Katz, Roman, Nieto, Juan, Nebot, Eduardo, Douillard, Bertrand

    Published in Autonomous robots (01-08-2010)
    “…This work introduces a self-supervised architecture for robust classification of moving obstacles in urban environments. Our approach presents a hierarchical…”
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    Journal Article
  9. 9

    The Development of High-Resolution Seafloor Mapping Techniques by Roman, Chris, Inglis, Gabrielle, Vaughn, J. Ian, Smart, Clara, Douillard, Bertrand, Williams, Stefan

    Published in Oceanography (Washington, D.C.) (01-03-2012)
    “…The 2011 field season continued the development of centimeter-level mapping techniques for marine geology, biology, and archaeology. The ROV Hercules is…”
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    Journal Article
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    Combining radar and vision for self-supervised ground segmentation in outdoor environments by Milella, A., Reina, G., Underwood, J., Douillard, B.

    “…Ground segmentation is critical for a mobile robot to successfully accomplish its tasks in challenging environments. In this paper, we propose a…”
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    Conference Proceeding
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    Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models by Popov, Alexander, Degirmenci, Alperen, Wehr, David, Hegde, Shashank, Oldja, Ryan, Kamenev, Alexey, Douillard, Bertrand, Nistér, David, Muller, Urs, Bhargava, Ruchi, Birchfield, Stan, Smolyanskiy, Nikolai

    Published 25-09-2024
    “…We propose the use of latent space generative world models to address the covariate shift problem in autonomous driving. A world model is a neural network…”
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    Journal Article
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    Narrowing the coordinate-frame gap in behavior prediction models: Distillation for efficient and accurate scene-centric motion forecasting by Su, DiJia Andy, Douillard, Bertrand, Al-Rfou, Rami, Park, Cheol, Sapp, Benjamin

    “…Behavior prediction models have proliferated in recent years, especially in the popular real-world robotics application of autonomous driving, where…”
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    Conference Proceeding
  13. 13

    Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting by Su, DiJia, Douillard, Bertrand, Al-Rfou, Rami, Park, Cheolho, Sapp, Benjamin

    Published 08-06-2022
    “…Behavior prediction models have proliferated in recent years, especially in the popular real-world robotics application of autonomous driving, where…”
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    Journal Article
  14. 14

    A spatio-temporal probabilistic model for multi-sensor object recognition by Douillard, B., Fox, D., Ramos, F.

    “…This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal…”
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    Conference Proceeding
  15. 15

    MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction by Varadarajan, Balakrishnan, Hefny, Ahmed, Srivastava, Avikalp, Refaat, Khaled S, Nayakanti, Nigamaa, Cornman, Andre, Chen, Kan, Douillard, Bertrand, Lam, Chi Pang, Anguelov, Dragomir, Sapp, Benjamin

    Published 29-11-2021
    “…Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving. Applying deep learning to this…”
    Get full text
    Journal Article
  16. 16

    An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition by Lee, Kuan-Hui, Tagawa, Takaaki, Pan, Jia-En M, Gaidon, Adrien, Douillard, Bertrand

    Published 09-06-2019
    “…Vehicle taillight recognition is an important application for automated driving, especially for intent prediction of ado vehicles and trajectory planning of…”
    Get full text
    Journal Article
  17. 17

    A self-supervised architecture for moving obstacles classification by Katz, R., Douillard, B., Nieto, J., Nebot, E.

    “…This work introduces a self-supervised, multi-sensor architecture that performs automatic moving obstacles classification. Our approach presents a hierarchical…”
    Get full text
    Conference Proceeding
  18. 18

    Supervised Remote Robot with Guided Autonomy and Teleoperation (SURROGATE): A framework for whole-body manipulation by Hebert, Paul, Ma, Jeremy, Borders, James, Aydemir, Alper, Bajracharya, Max, Hudson, Nicolas, Shankar, Krishna, Karumanchi, Sisir, Douillard, Bertrand, Burdick, Joel

    “…The use of the cognitive capabilties of humans to help guide the autonomy of robotics platforms in what is typically called "supervised-autonomy" is becoming…”
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    Conference Proceeding
  19. 19

    Hierarchical Environment Model for Fusing Information from Human Operators and Robots by Kaupp, T., Douillard, B., Upcroft, B., Makarenko, A.

    “…This paper considers the problem of building environment models by fusing information gathered by robotic platforms with human perceptual information. Rich…”
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    Conference Proceeding
  20. 20

    Multi-sensor identity tracking with event graphs by Morton, Peter, Douillard, Bertrand, Underwood, James

    “…The ability to track moving objects is a key part of autonomous robot operation in real-world environments. Whilst for many tasks knowing the positions of…”
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    Conference Proceeding