Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Xuequan Tang"'
Publikováno v:
IEEE Access, Vol 11, Pp 137067-137082 (2023)
By improving the ability of Trajectory Tracking Control (TTC) algorithms to mimic the manipulation behaviors of real drivers, which is of great significance in improving the personalized driving experience of autonomous vehicles. In this paper, we pr
Externí odkaz:
https://doaj.org/article/31979c89087b4ddba04ae5a1dcd5dd1c
Publikováno v:
Sensors, Vol 22, Iss 14, p 5163 (2022)
Most existing Path-Following Algorithms (PFAs) are developed for single-unit vehicles (SUVs) and rarely for articulated vehicles (AVs). Since these PFAs ignore the motion of the trailer, they may cause large tracking deviations and ride stability iss
Externí odkaz:
https://doaj.org/article/a07e1b7593f64912934a0fc0f5a576d7
Publikováno v:
Electronics; Volume 10; Issue 23; Pages: 3010
Electronics, Vol 10, Iss 3010, p 3010 (2021)
Electronics, Vol 10, Iss 3010, p 3010 (2021)
For distributed drive autonomous vehicles, adding lateral stability control (LSC) to the trajectory tracking control (TTC) can optimize the distribution of the driving torque of each wheel, so that the vehicle can track the planned trajectory while m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a82fd190d9feb2feb3d67bde29504adc
https://doi.org/10.3390/electronics10233010
https://doi.org/10.3390/electronics10233010