نتایج جستجو برای: car navigation
تعداد نتایج: 114000 فیلتر نتایج به سال:
In this paper, we present the results of a hierarchical SLAM/GPS/INS/WLFP sensor fusion to be used in navigation system devices. Due to low quality of the inertial sensors, even a short-term GPS failure can lower the integrated navigation performance significantly. In addition, in GPS denied environments, most navigation systems need a separate assisting resource, in order to increase the avail...
The Car Rental System is a web-based platform designed to provide user-friendly interface and seamless rental experience. It built using the MERN stack, which ensures fast responsive user interfaces efficient processing of customer requests data. includes payment gateway for secure swift processing, enabling transactions. With increasing demand car services due rise tourism ride-sharing service...
Recently pedestrian navigation has been studied by many researchers, which provides pedestrians with a similar function of car navigation. On the other hand, a 3dimensional (3D) map, which is one of major themes in machine vision research, has been utilized as a simulation tool in city and landscape planning, and other engineering fields. The 3D maps will give more intuitive information compare...
Drivers need assistance when navigating an unfamiliar route. In-vehicle navigation systems have improved in recent years due to the technology advances, but are sometimes problematic because of information overload while driving. To address the attentional demands of reading a map while driving, we have developed the MOVE (Maps Optimized for Vehicular Environments) in-car navigation display, wh...
The Global Positioning System (GPS) and an Inertial Navigation System (INS) are two basic navigation systems. Due to their complementary characters in many aspects, a GPS/INS integrated navigation system has been a hot research topic in the recent decade. The Micro Electrical Mechanical Sensors (MEMS) successfully solved the problems of price, size and weight with the traditional INS. Therefore...
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
Enabling robots to autonomously navigate complex environments is essential for real-world deployment. Prior methods approach this problem by having the robot maintain an internal map of the world, and then use a localization and planning method to navigate through the internal map. However, these approaches often include a variety of assumptions, are computationally intensive, and do not learn ...
A central feature of ubiquitous computing applications is their capability to automatically react on context changes so as to support users in their mobility. Such context awareness relies on models of specific use contexts, embedded in ubiquitous computing environments. However, since most such models are based merely on location and identity parameters, context-aware applications seldom cater...
In this paper, we discuss the construction of a large in-car spoken dialogue corpus and the result of its analysis. We have developed a system specially built into a Data Collection Vehicle (DCV) which supports the synchronous recording of multichannel audio data from 16 microphones that can be placed in flexible positions, multichannel video data from 3 cameras, and vehicle related data. Multi...
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