Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Arpan Kusari"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5530 (2024)
Pose estimation is crucial for ensuring passenger safety and better user experiences in semi- and fully autonomous vehicles. Traditional methods relying on pose estimation from regular color images face significant challenges due to a lack of three-d
Externí odkaz:
https://doaj.org/article/4f2244f0da45474698b66278a65877ee
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:3404-3422
Quantifying near-field displacements can help enable a better understanding of earthquake physics and hazards. To date, established remote sensing techniques have failed to recover subcentimeter-level near-field displacements at the scale and resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ef1aaf8f9f2e2bf18bda07fc4a8727
https://doi.org/10.1109/tgrs.2018.2884712
https://doi.org/10.1109/tgrs.2018.2884712
Autor:
Arpan Kusari, Pei Li, Hanzhi Yang, Nikhil Punshi, Mich Rasulis, Scott Bogard, David J. LeBlanc
Current autonomous vehicle (AV) simulators are built to provide large-scale testing required to prove capabilities under varied conditions in controlled, repeatable fashion. However, they have certain failings including the need for user expertise an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14c195dcaef6a13a68156fbafe12616c
Autor:
Arpan Kusari, Jonathan P. How
Publikováno v:
arXiv
ICRA
ICRA
A common approach for defining a reward function for Multi-objective Reinforcement Learning (MORL) problems is the weighted sum of the multiple objectives. The weights are then treated as design parameters dependent on the expertise (and preference)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c9afc28245d4016a5b6625fd2688cfa
https://hdl.handle.net/1721.1/136715
https://hdl.handle.net/1721.1/136715
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8:3338-3346
Differential light detection and ranging (LiDAR) from repeated surveys has recently emerged as an effective tool to measure the three-dimensional (3-D) change. Currently, the primary method for determining 3-D change from LiDAR is through the use of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::076c7a8c40b12e3d899d2b3928731d4c
https://doi.org/10.1109/jstars.2015.2398317
https://doi.org/10.1109/jstars.2015.2398317
Autor:
Adrian A. Borsa, Edwin Nissen, Michael E. Oskin, J Ramón Arrowsmith, Craig Glennie, Arpan Kusari, Alejandro Hinojosa-Corona
Publikováno v:
Geophysical Research Letters. 41:3494-3501
Airborne lidar (light detection and ranging) topography, acquired before and after an earthquake, can provide an estimate of the coseismic surface displacement field by differencing the preevent and postevent lidar point clouds. However, estimated di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fe4d91addc001dea7b94bb7f9270bc3
https://doi.org/10.1002/2014gl059919
https://doi.org/10.1002/2014gl059919
Publikováno v:
UPINLBS
In recent years the demand for indoor mapping applications with real-time data collection has increased with the decrease in the cost of mapping sensors. In this paper, a unique, automatic system is devised to map unknown indoor environments using a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99c8364cab0b9980cd48d1c974d46d5d
https://doi.org/10.1109/upinlbs.2014.7033730
https://doi.org/10.1109/upinlbs.2014.7033730