Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Linglong Lin"'
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4123 (2021)
Vehicle pose estimation is essential in autonomous vehicle (AV) perception technology. However, due to the different density distributions of the point cloud, it is challenging to achieve sensitive direction extraction based on 3D LiDAR by using the
Externí odkaz:
https://doaj.org/article/25944f14e4e14f37883c3c3c6be2678c
Publikováno v:
Remote Sensing, Vol 13, Iss 16, p 3239 (2021)
LiDAR occupies a vital position in self-driving as the advanced detection technology enables autonomous vehicles (AVs) to obtain much environmental information. Ground segmentation for LiDAR point cloud is a crucial procedure to ensure AVs’ driving
Externí odkaz:
https://doaj.org/article/7eeb78092ffb48da8d4ce0c9212e5dbd
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8534 (2020)
The perception system has become a topic of great importance for autonomous vehicles, as high accuracy and real-time performance can ensure safety in complex urban scenarios. Clustering is a fundamental step for parsing point cloud due to the extensi
Externí odkaz:
https://doaj.org/article/20cefb83416b45c1997c3ea4f27b6c0c
Publikováno v:
Applied Intelligence. 53:2362-2390
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7cc850fd8d6892a8f0d58f59ae10184
https://doi.org/10.1007/s10489-022-03576-3
https://doi.org/10.1007/s10489-022-03576-3
Publikováno v:
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID).
For autonomous driving in urban environments, road curb plays a significant role in tasks such as lane-keeping, assisted localization, and path planning. A real-time robust curb detection algorithm based on 3D LiDAR is proposed in this paper. Firstly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b93f78d1444cce428435df30ba8caff9
https://doi.org/10.1109/aiid51893.2021.9456591
https://doi.org/10.1109/aiid51893.2021.9456591
Publikováno v:
Journal of Intelligent & Robotic Systems. 102
Drivable area detection is one of the essential functions of autonomous vehicles. However, due to the complexity and diversity of unknown environments, it remains a challenge specifically on rough roads. In this paper, we propose a systematical frame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::653d4cd720d4c1a99f85abace43ba948
https://doi.org/10.1007/s10846-021-01381-7
https://doi.org/10.1007/s10846-021-01381-7
Ground segmentation is an important preprocessing task for autonomous vehicles (AVs) with 3D LiDARs. To solve the problem of existing ground segmentation methods being very difficult to balance accuracy and computational complexity, a fast point clou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8158bbbbe2904fdceb6e093aa887699b
Publikováno v:
ICIA
In order to improve real-time performance and reduce the dependence on computing resources, we present a novel vehicle detection algorithm based on sparse point clouds in this paper. In point clouds segmentation, virtual laser line is proposed and ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a39b38acf9539630a501209fdb8a0806
https://doi.org/10.1109/icinfa.2018.8812461
https://doi.org/10.1109/icinfa.2018.8812461
Publikováno v:
Intelligent Vehicles Symposium
Given the uncontrolled outdoor environments and different physical properties of clothing, the appearance of pedestrians in far-infrared (FIR) images changes dramatically. Finding a robust region of interest (ROI) generation method for pedestrian det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c04dc0ee0526a3e155ac07a5604c2ec
https://doi.org/10.1109/ivs.2018.8500637
https://doi.org/10.1109/ivs.2018.8500637
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 34:2055005
An effective and accurate lane marking detection algorithm is a fundamental element of the intelligent vehicle system and the advanced driver assistant system, which can provide important information to ensure the vehicle runs in the lane or warn the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdd6b8bc173a45f4cfb1d6536ad3b963
https://doi.org/10.1142/s0218001420550058
https://doi.org/10.1142/s0218001420550058