Satellite-Based System for Predictive Control in Vehicles and its Field of Applications
A satellite-based system for predictive control enhances advanced driver assistance systems in the fields of comfort, safety and environment. The predictive information of the GNSS-receiver in combination with a next generation digital map are fused with
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Satellite-Based System for Predictive Control in Vehicles and its Field of Applications
A. Zlocki, Institut für Kraftfahrwesen Aachen
Abstract A satellite-based system for predictive control enhances advanced driver assistance systems in the fields of comfort, safety and environment. The predictive information of the GNSS-receiver in combination with a next generation digital map are fused with local environment information of the vehicle’s internal sensors and a distance sensor in the front of the vehicle. In comparison to conventional ADAS sensors, which can only take the distance of 200 m in front of the vehicle into account, ADAS with predictive sensor information can react to driving events such as velocity limitations, curve radii, intersections, road inclinations and traffic signs in an early stage and therefore help to increase the driving comfort and traffic safety and increase the traffic efficiency and reduce fuel consumption as well as CO2 emissions. The development of the predictive preview system as well as the integration into test vehicles have been conducted at the ika (Institut für Kraftfahrwesen Aachen). Two different applications are presented as examples and the benefit of the satellite-based system is described in simulation and test results.
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Introduction
In the past decade technical systems have been developed in order to support the driver in complex driving situations and relieve him of monotonous driving tasks, due to the increasing traffic volume and the resulting complexity. These systems are so-called advanced driver assistant systems (ADAS). ADAS help to compensate the known weakness of a human driver (inattentiveness, reaction times etc.) and therefore are promising to decrease accident numbers. ADAS are interlinked with all three elements of the closed control loop “traffic” (vehicle, environment and driver) as given in Fig. 1. Additionally there are systems available, which partly take over the driving task and replace the driver in defined tasks completely, e.g. ESP, Lane Keeping and ACC (adaptive cruise
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control). In these cases the control loop consists of the vehicle, the environment and the advanced driver assistance system.
Fig. 1.
Advanced driver assistance systems in the traffic system
Driver assistance systems support the driver to achieve the following aims: u Driving comfort: Today most driver assistance systems concentrate especially on driving comfort. These are usually systems, which relieve the driver from annoying and monotonous tasks to ease the drive. Those systems can also have an indirect positive impact on traffic safety. u Safety: Advanced driver assistance systems can be used to prevent accidents, to decrease accident damages and improve the rescue management. Therefore, these driver assistance systems either completely take over the vehicle control or give additional information or warning to the driver. u Traffic efficiency: An improvement of street capacity is expected by the usage of driver assistance systems. Thus traffic jams c
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