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Some of the most advanced functions in automated vehicles are in the parking domain, since it provides structured environments and slow speeds. As most parking garages deny GNSS reception, vehicles rely on dead reckoning or simple path-finding algorithms. To this regard, we have developed an infrastructure-based positioning system using cameras. In this paper, we present a novel approach on how to...
This article focuses on development baseline for a novel LIDAR for future autonomous cars, which require perception not only in clear weather, but also under harsh weather conditions such as fog and rain. Development of automotive laser scanners is bound to the following requirements: maximize sensor performance, assess the performance level and keep the scanner component costs reasonable (<1000...
Modern vehicles are equipped with numerous driver assistance and telematics functions, such as Turn-by-Turn navigation. Most of these systems rely on precise positioning of the vehicle. While Global Navigation Satellite Systems (GNSS) are available outdoors, these systems fail in indoor environments such as a car-park or a tunnel. Alternatively, the vehicle can localize itself with landmark-based...
With the advent of cooperative automated functions a host of novel functions becomes feasible — cooperative driver assistance systems (CoDAS). We present an example for a novel collaborative vehicle-2-infrastructure interaction with the "automated emergency vehicle green-light" (AEVGL) function. In our approach we combine traffic light infrastructure with Dedicated Short Range Communication...
Modern automated and cooperative driver assistance systems (CoDAS) rely deeply on the position estimation. Regardless of absolute positioning accuracy, the relative position in regard to driving environment and other vehicles needs to be of high quality to enable sophisticated functions. Global Navigation Satellite Systems (GNSS) fulfill this demand only partially. In this paper we present an algorithm...
Hundreds of thousands of pedestrians are involved in severe traffic accidents every year world-wide. Reasons for these accidents include complex and highly dynamic traffic situations where views are obstructed or unexpected movement occurs. Driver assistance systems are a valid option for increasing pedestrian safety by enhancing the awareness of complex traffic situations and identifying potential...
Vehicle-to-Vehicle communication has recently passed from a research topic to the subject of Field Operational Testing (FOT) and pilot deployment. Current state-of-the art Car-to-Car and Car-to-Infrastructure (C2X) functions will however only inform the driver, not interfere in actual vehicle operation. A logical next step after initial deployment will be sensor fusion to enhance actively intervening...
Vehicular positioning technologies enable a broad range of applications and services such as navigation systems, driver assistance systems and self-driving vehicles. However, Global Navigation Satellite Systems (GNSS) do not work in enclosed areas such as parking garages. For these scenarios, a wide range of indoor positioning technologies are available inside the vehicle (internal) and based on infrastructure...
In this paper we present an indoor micronavigation system for enclosed parking garages. It builds on car-to-infrastructure communication to provide layout information of the car park, the coordinates of the destination parking lot, as well as external positioning information to vehicles. In our approach we use customary network video cameras to detect and locate vehicles within the car park. Once...
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