Zobrazeno 1 - 10
of 201 886
pro vyhledávání: '"A P, Lane"'
Publikováno v:
2024 IEEE International Conference on Advanced Telecommunication and Networking Technologies (ATNT)
This paper describes the implementation of a learning-based lane detection algorithm on an Autonomous Mobile Robot. It aims to implement the Ultra Fast Lane Detection algorithm for real-time application on the SEATER P2MC-BRIN prototype using a camer
Externí odkaz:
http://arxiv.org/abs/2411.14873
Autor:
Yang, Sen, Jiang, Minyue, Fan, Ziwei, Xie, Xiaolu, Tan, Xiao, Li, Yingying, Ding, Errui, Wang, Liang, Wang, Jingdong
Recent advances in autonomous driving systems have shifted towards reducing reliance on high-definition maps (HDMaps) due to the huge costs of annotation and maintenance. Instead, researchers are focusing on online vectorized HDMap construction using
Externí odkaz:
http://arxiv.org/abs/2411.14751
Lane detection involves identifying lanes on the road and accurately determining their location and shape. This is a crucial technique for modern assisted and autonomous driving systems. However, several unique properties of lanes pose challenges for
Externí odkaz:
http://arxiv.org/abs/2411.10902
The acquisition of real-time and accurate traffic arrival information is of vital importance for proactive traffic control systems, especially in partially connected vehicle environments. License plate recognition (LPR) data that record both vehicle
Externí odkaz:
http://arxiv.org/abs/2411.07515
Lane detection is a critical and challenging task in autonomous driving, particularly in real-world scenarios where traffic lanes can be slender, lengthy, and often obscured by other vehicles, complicating detection efforts. Existing anchor-based met
Externí odkaz:
http://arxiv.org/abs/2411.01499
Autor:
Liu, Willow, Qiao, Shuxin, Gao, Kyle, He, Hongjie, Chapman, Michael A., Xu, Linlin, Li, Jonathan
This research addresses the need for high-definition (HD) maps for autonomous vehicles (AVs), focusing on road lane information derived from aerial imagery. While Earth observation data offers valuable resources for map creation, specialized models f
Externí odkaz:
http://arxiv.org/abs/2410.05717
Autor:
Katayama, Sho
We consider the Lane-Emden equation with a supercritical nonlinearity with an inhomogeneous Dirichlet boundary condition on an infinite cone. Under suitable conditions for the boundary data and the exponent of nonlinearity, we give a complete classif
Externí odkaz:
http://arxiv.org/abs/2411.14686
We study degenerate quasilinear elliptic equations on Riemannian manifolds and obtain several Liouville theorems. Notably, we provide rigorous proof asserting the nonexistence of positive solutions to the subcritical Lane-Emden-Fowler equations over
Externí odkaz:
http://arxiv.org/abs/2411.06956
In this paper, we establish a Liouville theorem for solutions to the Lane Emden equation involving Baouendi Grushin operators. We focus on solutions that are stable outside a compact set. Specifically, we prove that when p is smaller than the Joseph
Externí odkaz:
http://arxiv.org/abs/2411.06354
The Lane-Emden inequality controls $\iint_{\mathbb{R}^{2d}}\rho(x)\rho(y)|x-y|^{-\lambda}\,dx\,dy$ in terms of the $L^1$ and $L^p$ norms of $\rho$. We provide a remainder estimate for this inequality in terms of a suitable distance of $\rho$ to the m
Externí odkaz:
http://arxiv.org/abs/2410.20113