Based on the public-oriented complex environment and complex tasks, this paper designs an autonomous navigation robot platform for task scheduling, and studies its key technologies. Aiming at the problem of simultaneous localization and mapping (SLAM) of autonomous navigation robot platform in complex environment and multitasking, a hybrid particle filter algorithm (M-PF Mixture Particle Filter) is proposed to solve the particle attenuation problem encountered in traditional particle filter. A global path planning algorithm is proposed on the path planning problem. Finally, the human skeleton point recognition is used to achieve the specific functions. In this paper, TSRP- HCI robot platform is used to test various methods proposed in this paper for specific indoor cruise scenarios. The test results show that the task scheduling oriented autonomous navigation robot platform proposed in this paper has advantages in positioning accuracy, navigation safety, algorithm efficiency and human-computer interaction mode, and has considerable application value. It can interact with human beings in a dynamic environment and carry out task scheduling at the same time to complete the navigation task from the target point to the termination point independently.
Nowadays, China’s highway charges are manual, semi-automatic (MTC), and electronic toll collection (ETC), and traffic efficiency is relatively low. To improve the speed of highway toll stations, free-flow charging based on the Global Navigation Satellite System (GNSS) is a charging method with higher traffic efficiency. This paper analyzes and designs a sub-meter high-precision lane-level navigation and positioning system based on BeiDou’s ground-based augmentation system. Based on the technical principle of highway free-flow charging, a new mode and method of BeiDou lane-level highway vehicle wide-area free flow trusted charging is designed by adding mobile communication base station verification.
BeiDou Navigation Satellite System is an important national space-time infrastructure and an important tool for realizing social informatization. BeiDou satellite navigation system has been widely used in transportation, hydrology, meteorological monitoring, and other fields since it provides services. At the same time, the BeiDou satellite navigation system also needs to be further applied in ground navigation. Given the domestic situation, the best practice place is the high-speed field, such as the wide plain, highways, and so on, and the focus is to design a low noise, low power consumption, broadband navigation satellite receiver frequency synthesizer. Considering the selection of frequency points and loop bandwidth of the navigation satellite, this paper selects the phase-locked fractional frequency synthesizer. The linear model of the system is established. After introducing noise, the phase noise model of the system can be obtained. In this paper, the 65 nm CMOS process is used to design and realize dual-mode broadband VCO, decimal frequency divider, frequency discriminator, charge pump, automatic frequency band selection circuit, and loop filter. After simulation verification, the design index is completed.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.