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A novel probabilistic perception algorithm is presented as a real-time joint solution to data association, object tracking, and object classification for an autonomous ground vehicle in all-weather conditions.
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Estimation with Applications to Tracking and Navigation
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Ristic, B., Gordon, N., and Bessell, A. (2004) · 2004
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Histograms of oriented gradients for human detection
Dalal, N. and Triggs, B. (2005) · 2005
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Tracking and classification of dynamic obstacles using laser range finder and vision
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Probabilistic Robotics
Thrun, S., Burgard, W., and Fox, D. (2006) · 2006
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The Gaussian Mixture Probability Hypothesis Density Filter
Vo, B. and Ma, W. (2006) · 2006
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A Guide to LIDAR Data Acquisition and Processing for the Forests of the Pacific Northwest
Gatziolis, D. and Andersen, H.-E. (2008) · 2008
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Team Cornell’s Skynet: Robust perception and planning in an urban environment
Miller, I., Campbell, M., Huttenlocher, D., Kline, F.-R., Nathan, A., Lupashin, S., Catlin, J., Schimpf, B., Moran, P., Zych, N., Garcia, E., Kurdziel, M., and Fujishima, H. (2008) · 2008
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The Pascal Visual Object Classes (VOC) Challenge
Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., and Zisserman, A. (2010) · 2010
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On the segmentation of 3D LIDAR point clouds
Douillard, B., Underwood, J., Kuntz, N., Vlaskine, V., Quadros, A., Morton, P., and Frenkel, A. (2011) · 2011
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Towards 3D object recognition via classification of arbitrary object tracks
Teichman, A., Levinson, J., and Thrun, S. (2011) · 2011
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Practical object recognition in autonomous driving and beyond
Teichman, A. and Thrun, S. (2011) · 2011
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The Google Self-Driving Car Project
Urmson, C. (2011) · 2011
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Discriminatively Trained Deformable Part Models, Release 5
Girshick, R. B., Felzenszwalb, P. F., and McAllester, D. (2012) · 2012
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A probabilistic framework for car detection in images using context and scale
Held, D., Levinson, J., and Thrun, S. (2012) · 2012
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ImageNet Classification with Deep Convolutional Neural Networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E. (2012) · 2012
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Sensitivity Analysis of a Tightly-Coupled GPS/INS System for Autonomous Navigation
Miller, I. and Campbell, M. (2012) · 2012
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Posterior representation with a multi-modal likelihood using the gaussian sum filter for localization in a known map
Schoenberg, J. R., Campbell, M., and Miller, I. (2012) · 2012
How We Gave Sight to the Mercedes Robotic Car
Dickmann, J., Appenrodt, N., and Brenk, C. (2014) · 2014
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Girshick, R., Donahue, J., Darrell, T., and Malik, J. (2014) · 2014
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Combining 3D Shape, Color, and Motion for Robust Anytime Tracking
Held, D., Levinson, J., Thrun, S., and Savarese, S. (2014) · 2014
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Reconstruction of rigid body models from motion distorted laser range data using optical flow
Ilg, E., Kuummerle, R., Burgard, W., and Brox, T. (2014) · 2014
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Preliminary Statement of Policy Concerning Automated Vehicles
NHTSA (2014) · 2014
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30Hz Object Detection with DPM V5
Sadeghi, M. A. and Forsyth, D. (2014) · 2014
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Let the Robot Drive The Autonomous Car of the Future is Here
Vanderbilt, T. (2012) · 2012
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Vision meets Robotics: The KITTI Dataset
Geiger, A., Lenz, P., Stiller, C., and Urtasun, R. (2013) · 2013
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Precision tracking with sparse 3D and dense color 2D data
Held, D., Levinson, J., and Thrun, S. (2013) · 2013
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On Real-Time LIDAR Data Segmentation and Classification
Korchev, D., Cheng, S., Owechko, Y., and Kim, K. (2013) · 2013
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NYC3DCars: A Dataset of 3D Vehicles in Geographic Context
Matzen, K. and Snavely, N. (2013) · 2013
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Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems - J3016
SAE (2013) · 2013
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Programmable automotive headlights
Tamburo, R., Nurvitadhi, E., Chugh, A., Chen, M., Rowe, A., Kanade, T., and Narasimhan, S. (2014) · 2014
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Pedestrian detection with a large-field-of-view deep network
Angelova, A., Krizhevsky, A., and Vanhoucke, V. (2015) · 2015
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Learning complexity-aware cascades for deep pedestrian detection
Cai, Z., Saberian, M. J., and Vasconcelos, N. (2015) · 2015
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Fast R-CNN
Girshick, R. (2015) · 2015
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Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., and Sun, J. (2015) · 2015
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Drive PX
Huang, J. S. (2015) · 2015
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Ren, S., He, K., Girshick, R., and Sun, J. (2015) · 2015
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Nvidia Wants to Build the Robocar’s Brain
Ross, P. E. (2015) · 2015
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