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author | Martin Miller | 2024-02-17 12:54:32 -0500 |
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committer | Martin Miller | 2024-02-17 12:54:32 -0500 |
commit | e5854480e3a1b4e409251db891682eda19645db3 (patch) | |
tree | 850816714b9fc833b88bdf637b024f6d4e344b83 /publications.bib | |
parent | a7dda27afcdeb32f7e2588f3ab96d3acd376cc81 (diff) | |
download | martin-resume-e5854480e3a1b4e409251db891682eda19645db3.zip martin-resume-e5854480e3a1b4e409251db891682eda19645db3.tar.gz |
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diff --git a/publications.bib b/publications.bib index ffa875c..ca1d65e 100644 --- a/publications.bib +++ b/publications.bib @@ -1,23 +1,34 @@ @article{miller2017, -author = {Martin Miller and Soon-Jo Chung and Seth Hutchinson}, -title ={The Visual–Inertial Canoe Dataset}, -journal = {The International Journal of Robotics Research}, -volume = {37}, -number = {1}, -pages = {13-20}, -year = {2018}, -doi = {10.1177/0278364917751842}, - -URL = { - https://doi.org/10.1177/0278364917751842 - -}, -eprint = { - https://doi.org/10.1177/0278364917751842 - -} -, - abstract = { We present a dataset collected from a canoe along the Sangamon River in Illinois. The canoe was equipped with a stereo camera, an inertial measurement unit (IMU), and a global positioning system (GPS) device, which provide visual data suitable for stereo or monocular applications, inertial measurements, and position data for ground truth. We recorded a canoe trip up and down the river for 44 minutes covering a 2.7 km round trip. The dataset adds to those previously recorded in unstructured environments and is unique in that it is recorded on a river, which provides its own set of challenges and constraints that are described in this paper. The dataset is stored on the Illinois Data Bank and can be accessed at: https://doi.org/10.13012/B2IDB-9342111\_V1. } + author = {Martin Miller and Soon-Jo Chung and Seth Hutchinson}, + title ={The Visual–Inertial Canoe Dataset}, + journal = {The International Journal of Robotics Research}, + volume = {37}, + number = {1}, + pages = {13-20}, + year = {2018}, + doi = {10.1177/0278364917751842}, } +%URL = {https://doi.org/10.1177/0278364917751842}, +%eprint = { +% https://doi.org/10.1177/0278364917751842 +% +%} +%, +% abstract = { We present a dataset collected from a canoe along the Sangamon River in Illinois. The canoe was equipped with a stereo camera, an inertial measurement unit (IMU), and a global positioning system (GPS) device, which provide visual data suitable for stereo or monocular applications, inertial measurements, and position data for ground truth. We recorded a canoe trip up and down the river for 44 minutes covering a 2.7 km round trip. The dataset adds to those previously recorded in unstructured environments and is unique in that it is recorded on a river, which provides its own set of challenges and constraints that are described in this paper. The dataset is stored on the Illinois Data Bank and can be accessed at: https://doi.org/10.13012/B2IDB-9342111\_V1. } +%}, + +@patent{miller2019, + author = {Li Xu and Martin Miller and Thomas Edward Pilutti and John Michael Celli}, + title = {Trailer sideswipe avoidance system}, + assignee = {Ford Global Technologies, LLC}, + nationality = {United States}, + number = {11332191}, + day = {17}, + month = {May}, + year = {2022}, + dayfiled = {9}, + monthfiled = {Sep}, + yearfiled = {2019}, +} |