Zobrazeno 1 - 10
of 2 766
pro vyhledávání: '"intelligent vehicle"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 10, Pp 1618-1628 (2024)
Accurate matching between in-vehicle sensor data and high-definition (HD) maps is crucial to improve the performance of perception and localization of intelligent vehicles. A novel algorithm of HD map matching based on the developed semantic likeliho
Externí odkaz:
https://doaj.org/article/787b375e1a4344babed81933af64fc7d
Publikováno v:
Geo-spatial Information Science, Pp 1-18 (2024)
High-precision positioning and navigation are necessary for autonomous driving. GNSS RTK and INS integrated system is commonly used in vehicular navigation. But it suffers from severe signal reflections and blockages of GNSS signals and error accumul
Externí odkaz:
https://doaj.org/article/d4bb8275963246a48137dd0e56318e99
Autor:
Yang HAN
Publikováno v:
Meikuang Anquan, Vol 55, Iss 2, Pp 218-222 (2024)
We designed an intelligent vehicle terminal based on UWB accurate positioning technology, which integrates multiple functions such as precise positioning, 4G/5G wireless communication, video monitoring, data acquisition, voice call and other function
Externí odkaz:
https://doaj.org/article/508cd90b9cda4078ae29bd2b00f10c56
Publikováno v:
IEEE Access, Vol 12, Pp 115151-115170 (2024)
Multitarget tracking technology is the core topic in the field of intelligent driving. Multi-target complex manoeuvring, measurement outliers and unknown environmental prior parameters strongly affect the tracking accuracy of the target state. To add
Externí odkaz:
https://doaj.org/article/935efe10a78745d7bf46fb957384754d
Autor:
Hongqing Wang, Jun Kit Chaw, Sim Kuan Goh, Liantao Shi, Ting Tin Tin, Nannan Huang, Hong-Seng Gan
Publikováno v:
IEEE Access, Vol 12, Pp 113442-113462 (2024)
Intelligent vehicle detection systems have the potential to improve road safety and optimize traffic management. Despite the continuous advancements in AI technology, the detection of different types of vehicles in complex traffic environments remain
Externí odkaz:
https://doaj.org/article/adbccca419514aa885f2d0d78e562066
Publikováno v:
IEEE Access, Vol 12, Pp 9025-9037 (2024)
Simulation of pedestrians in shared spaces poses a significant challenge in autonomous driving virtual testing. The simulation pedestrian model can respond to autonomous vehicle behaviour changes. We present HFPM: a Hierarchical Forecasting Pedestria
Externí odkaz:
https://doaj.org/article/57ba6fb2601b4533a22488e25edb621e
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 11, p 513 (2024)
To address the common issues of accuracy and stability in trajectory tracking tasks for autonomous vehicles, this study proposes an innovative composite control strategy that skillfully integrates lateral and longitudinal dynamic control. For lateral
Externí odkaz:
https://doaj.org/article/c5dce31a495d4cec89298d9deb508954
Publikováno v:
Sensors, Vol 24, Iss 21, p 7013 (2024)
An accurate panorama depth estimation result is crucial to risk perception in autonomous driving practice. In this paper, an innovative framework is presented to address the challenges of imperfect observation and projection fusion in panorama depth
Externí odkaz:
https://doaj.org/article/f202d7f57c8f426ca0b74403840ed5f3
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 9, p 403 (2024)
The autonomous lane change maneuver is a critical component in the advancement of intelligent transportation systems (ITS). To enhance safety and efficiency in dynamic traffic environments, this study introduces a novel autonomous lane change strateg
Externí odkaz:
https://doaj.org/article/e1d8bdd1f9cc406a8aee57d66d195547
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 36, Iss 1, Pp 1-17 (2023)
Abstract To resolve the response delay and overshoot problems of intelligent vehicles facing emergency lane-changing due to proportional-integral-differential (PID) parameter variation, an active steering control method based on Convolutional Neural
Externí odkaz:
https://doaj.org/article/a0f81ec154474914a36690aa0300f0d4