Satellite- and Map-based Long Range Cooperative Adaptive Cruise Control System for Road Vehicles

Alrifaee, Bassam; Reiter, Matthias; Maschuw, Jan P.; Christen, Fréderic; Eckstein, Lutz; Abel, Dirk

doi:10.3182/20130904-4-jp-2042.00150

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…For instance, the ACC system currently in use effectively keeps a safe distance from the leading vehicle; however, the poor functioning of sensors in inclement weather results in restricted and limited ACC system operations. In such a scenario, the functionalities of ACC systems can be significantly improved by incorporating GNSS-RTN technology along with vehicle-tovehicle (V2V) communication, which would enable long-range detection of the surrounding road environment [65].…”

Section: Advanced Vehicle Control Systemsmentioning

confidence: 99%

The Role of GNSS-RTN in Transportation Applications

et al. 2022

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The Global Navigation Satellite System—Real-Time Network (GNSS-RTN) is a satellite-based positioning system using a network of ground receivers (also called continuously operating reference stations (CORSs)) and a central processing center that provides highly accurate location services to the users in real-time over a broader geographic region. Such systems can provide geospatial location data with centimeter-level accuracy anywhere within the network. Geospatial location services are not only used in measuring ground distances and mapping topography; they have also become vital in many other fields such as aerospace, aviation, natural disaster management, and agriculture, to name but a few. The innovative and multi-disciplinary applications of geospatial data drive technological advancement towards precise and accurate location services available in real-time. Although GNSS-RTN technology is currently utilized in a few industries such as precision farming, construction industry, and land surveying, the implications of precise real-time location services would be far-reaching and more critical to many advanced transportation applications. The GNSS-RTN technology is promising in meeting the needs of automation in most advanced transportation applications. This article presents an overview of the GNSS-RTN technology, its current applications in transportation-related fields, and a perspective on the future use of this technology in advanced transportation applications.

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Section: Advanced Vehicle Control Systemsmentioning

confidence: 99%

The Role of GNSS-RTN in Transportation Applications

et al. 2022

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“…By creating a centralized model of the platoon from the model of one vehicle, the students program a centralized controller for vehicle platooning with MPC. The final part is to distribute the control problem to each vehicle in the platooning with priority-based non-cooperative distributed model predictive control (Alrifaee et al (2016(Alrifaee et al ( , 2015(Alrifaee et al ( , 2013).…”

Section: Control In Networked Vehiclesmentioning

confidence: 99%

Remote Teaching with the Cyber-Physical Mobility Lab

Mokhtarian¹,

Scheffe²,

Alrifaee³

et al. 2022

Preprint

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<p>Self-driving laboratories receive increasing acceptance as they are used in research and education. For research, they mainly serve as a platform on which algorithms can be tested under realistic conditions before getting deployed into the real world. In education, they can add value by creating a reference to reality as they o er an application for theoretical knowledge. In combination with the fact that practical work is well appreciated among students, such setup helps to motivate and thus enhance the learning experience. However, not every institution has the capabilities to create a self-driving lab on its own. Instead, open-source and remotely accessible laboratories, like our Cyber-Physical Mobility Lab (CPM Lab) can be used to engage with the domain of networked and autonomous vehicles. By means of two of our courses, we demonstrate the capabilities of the CPM Lab. These two courses can either be used as groundwork to develop own lectures in this domain, or used directly since the course materials are open-source.</p>

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“…For example, the commercial brochure of the Bosch LRR4 radar 1 indicates an accuracy of ±0.12 m and ±0.11 m/s for distance and speed, respectively, but how this error is distributed is not known. In [11], a radar is used to measure distance and relative speed to the vehicle ahead. The authors list a range and a range-rate accuracy of ±0.5 m and ±0.12 m/s, respectively, but again the distribution of the error is not specified.…”

Section: Introduction and Related Workmentioning

confidence: 99%

A LiDAR Error Model for Cooperative Driving Simulations

Segata

Cigno

Bhadani

et al. 2018

2018 IEEE Vehicular Networking Conference (VNC)

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Cooperative driving and vehicular network simulations have done huge steps toward high realism. They have become essential tools for performance evaluation of any kind of vehicular networking application. Yet, cooperative vehicular applications will not be built on top of wireless networking alone, but rather fusing together different data sources including sensors like radars, LiDARs, or cameras. So far, these sensors have been assumed to be ideal, i.e., without any measurement error. This paper analyzes a set of estimated distance traces obtained with a LiDAR sensor and develops a stochastic error model that can be used in cooperative driving simulations. After implementing the model within the PLEXE simulation framework, we show the impact of the model on a set of cooperative driving control algorithms.

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Satellite- and Map-based Long Range Cooperative Adaptive Cruise Control System for Road Vehicles

Cited by 8 publications

References 8 publications

The Role of GNSS-RTN in Transportation Applications

The Role of GNSS-RTN in Transportation Applications

Remote Teaching with the Cyber-Physical Mobility Lab

A LiDAR Error Model for Cooperative Driving Simulations

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