|
|
|
|
|
Yuan Guo, Jian Zhou, Xicheng Li, Youchen Tang and Zhicheng Lv
High-definition (HD) maps serve as crucial infrastructure for autonomous driving technology, facilitating vehicles in positioning, environmental perception, and motion planning without being affected by weather changes or sensor-visibility limitations. M...
ver más
|
|
|
|
|
|
|
|
|
|
|
Benny Wijaya, Mengmeng Yang, Tuopu Wen, Kun Jiang, Yunlong Wang, Zheng Fu, Xuewei Tang, Dennis Octovan Sigomo, Jinyu Miao and Diange Yang
This research paper employed a multi-session framework to present an innovative approach to map monitoring within the domain of high-definition (HD) maps. The proposed methodology uses a machine learning algorithm to derive a confidence level for the det...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kuk Cho and Dooyong Cho
This paper describes a method that precisely estimates the position of images of traffic surveillance camera objects. We suggest a projection method with multiple traffic surveillance cameras through a local coordinate system into a global coordinate sys...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dariusz Gotlib, Robert Olszewski and Georg Gartner
In the face of strikingly intense technological development, there have been significant discrepancies in the understanding of the concept of the map; an understanding that is fundamental to cartography and, more broadly, GIScience. The development of el...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wolfgang Kühn, Michael Müller, Tom Höppner
Pág. 222 - 229
Vehicles need to recognize and record the roadway and the associated driving area elements with the help of sensors (stereo cameras, radar, lidar, laser scanners etc.) in highly automated driving processes; this information then needs to be converted int...
ver más
|
|
|
|
|
|