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@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},
+}