Zobrazeno 1 - 10
of 131
pro vyhledávání: '"Steven L. Waslander"'
Publikováno v:
IEEE Access, Vol 11, Pp 44989-45000 (2023)
Object detection is a safety-critical aspect of autonomous driving, allowing vehicles to identify moving objects in the scene for tracking, prediction and decision making. Current detectors, however, tend to provide point estimates for detected objec
Externí odkaz:
https://doaj.org/article/7d133bbb43a043dc81c4f194e6602b68
Publikováno v:
IEEE Access, Vol 8, Pp 34737-34749 (2020)
A large number of both aerial and underwater mobile robots fall in the category of underactuated systems that are defined on a manifold, which is not isomorphic to Euclidean space. Traditional approaches to designing controllers for such systems incl
Externí odkaz:
https://doaj.org/article/9f06d59cc116475681e3675eaf802545
Autor:
Yu Zhang, Huiyan Chen, Steven L. Waslander, Jianwei Gong, Guangming Xiong, Tian Yang, Kai Liu
Publikováno v:
IEEE Access, Vol 6, Pp 32800-32819 (2018)
In this paper, we introduce a novel and efficient hybrid trajectory planning method for autonomous driving in highly constrained environments. The contributions of this paper are fourfold. First, we present a trajectory planning framework that is abl
Externí odkaz:
https://doaj.org/article/f6a886cab3b647668424ebb874805b7c
Publikováno v:
Drones, Vol 5, Iss 4, p 116 (2021)
In this work, we introduce a microscopic traffic flow model called Scalar Capacity Model (SCM) which can be used to study the formation of traffic on an airway link for autonomous Unmanned Aerial Vehicles (UAVs) as well as for the ground vehicles on
Externí odkaz:
https://doaj.org/article/02d8be58fe2b434289969a3eb4398e5c
Publikováno v:
IEEE Access, Vol 4, Pp 1148-1162 (2016)
The Internet of Drones (IoD) is a layered network control architecture designed mainly for coordinating the access of unmanned aerial vehicles to controlled airspace, and providing navigation services between locations referred to as nodes. The IoD p
Externí odkaz:
https://doaj.org/article/da0ba713d791446b8c980c87bc4361e9
Publikováno v:
Sensors, Vol 18, Iss 7, p 2185 (2018)
In this paper, we present a complete, flexible and safe convex-optimization-based method to solve speed planning problems over a fixed path for autonomous driving in both static and dynamic environments. Our contributions are five fold. First, we sum
Externí odkaz:
https://doaj.org/article/10fbacd6d1734585b3c4e4a67bc82739
Publikováno v:
IEEE Robotics and Automation Letters. 6:2028-2035
Successful visual navigation depends upon capturing images that contain sufficient useful information. In this letter, we explore a data-driven approach to account for environmental lighting changes, improving the quality of images for use in visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e68d9f1f8b94c0c4c388de12127bb02
https://doi.org/10.1109/lra.2021.3058909
https://doi.org/10.1109/lra.2021.3058909
Autor:
Danson Evan Garcia, Jason Rebello, Carlos Wang, Steven L. Waslander, Matthew Pitropov, Michael Smart, Krzysztof Czarnecki
Publikováno v:
The International Journal of Robotics Research. 40:681-690
The Canadian Adverse Driving Conditions (CADC) dataset was collected with the Autonomoose autonomous vehicle platform, based on a modified Lincoln MKZ. The dataset, collected during winter within the Region of Waterloo, Canada, is the first autonomou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0765e27cf1eb802e0f4b44adc5b8a56d
https://doi.org/10.1177/0278364920979368
https://doi.org/10.1177/0278364920979368
An end-to-end shape modeling framework for vectorized building outline generation from aerial images
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 170:114-126
The identification and annotation of buildings has long been a tedious and expensive part of high-precision vector map production. The deep learning techniques such as fully convolution network (FCN) have largely promoted the accuracy of automatic bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93e70d54caee9158a32fcbff64fe3a2b
https://doi.org/10.1016/j.isprsjprs.2020.10.008
https://doi.org/10.1016/j.isprsjprs.2020.10.008
Publikováno v:
IEEE Access, Vol 8, Pp 34737-34749 (2020)
A large number of both aerial and underwater mobile robots fall in the category of underactuated systems that are defined on a manifold, which is not isomorphic to Euclidean space. Traditional approaches to designing controllers for such systems incl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::053eafa1b0dd6d9a00790b808479f18a
https://ieeexplore.ieee.org/document/8999577/
https://ieeexplore.ieee.org/document/8999577/