Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Yubin QIAN"'
Autor:
Yubin Qian
Publikováno v:
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-11 (2022)
Abstract Interdiscursivity of professional practice has gained increasing attention in nascent literature on professional discourse, yet its measurement is under-investigated. The present article, with a highlight on the writer identities in professi
Externí odkaz:
https://doaj.org/article/dfb99d81743242469e3562ddd1ced828
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 3, p 95 (2024)
For continuously changing road conditions and vehicle operating states, the exactitude of vehicle path tracking has not been secured by model predictive control based on linear lateral stiffness. An amended square root cubature Kalman filter method b
Externí odkaz:
https://doaj.org/article/cf4c9ae8acb04de88b73f8915def1cdc
Autor:
Zhenyu Song, Yubin Qian
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 3, p 96 (2024)
Precise trajectory prediction is pivotal for autonomous vehicles operating in real-world traffic conditions, and can help them make the right decisions to ensure safety on the road. However, state-of-the-art approaches consider limited information ab
Externí odkaz:
https://doaj.org/article/d46adf271c2743cd91ce88aaaf23191c
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 10, p 284 (2023)
The safety performance test of intelligent driving vehicles needs to rely on the collision scenarios in a real road traffic environment. In order to study the collision scenarios and accident characteristics of vehicles and two wheelers (TWs) in line
Externí odkaz:
https://doaj.org/article/bbb756545a604812930c8f997d96b7ff
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 71, Iss 2 (2023)
This paper proposes an autonomous obstacle avoidance method combining improved A-star (A*) and improved artificial potential field (APF) to solve the planning and tracking problems of autonomous vehicles in a road environment. The A*APF algorithm to
Externí odkaz:
https://doaj.org/article/18e488074a224e7e809c61681adfc7e2
Publikováno v:
Advances in Mechanical Engineering, Vol 14 (2022)
Obstacle avoidance path planning in a dynamic circumstance is one of the fundamental problems of autonomous vehicles, counting optional maneuvers: emergency braking and active steering. This paper proposes emergency obstacle avoidance planning based
Externí odkaz:
https://doaj.org/article/1c962693e44e4b7ba45caccdfd674002
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 9, p 252 (2023)
To enhance the safety and stability of lane change maneuvers for autonomous vehicles in adverse weather conditions, this paper proposes a quadratic programming−based trajectory planning algorithm for lane changing in rainy weather. Initially, in or
Externí odkaz:
https://doaj.org/article/9295fd1b5bdd4b0286cb4ed75bf7e1ee
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 4, p 79 (2023)
Intersection scenarios are one of the most complex and high-risk traffic scenarios. Therefore, it is important to propose a vehicle driving decision algorithm for intersection scenarios. Most of the related studies have focused on considering explici
Externí odkaz:
https://doaj.org/article/e261644efa2d4d5897857642aeeafbec
Autor:
Yubin Qian, Ya Sun
Publikováno v:
SAGE Open, Vol 11 (2021)
This article investigates the extant literature on the correlation between narratives in corporate annual reports and corporate performance. Prior studies are reviewed for overall characteristics, research topics, theoretical foundations, and methods
Externí odkaz:
https://doaj.org/article/00a3e4ca9d354f62b5887f84f45e2790
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences. Jul2024, Vol. 72 Issue 4, p1-13. 13p.