Chicago, IL, United States
Chicago, IL, United States

NAVTEQ was an American Chicago-based provider of Geographic Information Systems data and a major provider of base electronic navigable maps. The company was acquired by Nokia in 2007/2008, and fully merged into Nokia in 2011 to form part of the HERE business unit. Wikipedia.


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Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: MG-2.2-2014 | Award Amount: 12.03M | Year: 2015

The ITRAIL -Information Technologies for Shift to rail proposal, first step towards the long term IP4 -IT for an Attractive Railway SHIFTRAIL Innovation Programme, aims at providing a new seamless travel experience, giving access to a complete multimodal travel offer which connects the first and last mile to long distance journeys. This is achieved through the introduction of a ground breaking Technical Enabler based on two concepts: the traveler is placed at the heart of innovative solutions, accessing all multimodal travel services (shopping, ticketing, and tracking) through its travel-companion. An open published framework is providing full interoperability whilst limiting impacts on existing systems, without prerequisites for centralized standardization. This Technical Enabler will be completely settled in the context of the SHIFTRAIL IP4, and ITRAIL is proposing a reduced approach to the scale of a specified use case without weakening any of the key concepts of IP4, such as the usage of Semantic Web technologies, meta planning on distributed data, travel companion with a protected and secured personal wallet stored in the cloud and including the rights to travel. The use case will be defined as a specific instantiation of our open concepts, and will benefit from a completely scalable architecture fully instantiated in IP4. This approach is addressing all the key challenges of the work program, supporting a complete door-to- door intermodal travel offer and proposing a seamless integration of the very diverse existing and future services for planning, one-stop-shop ticketing, and real-time re-accommodation. Moreover, thanks to an Interoperability framework which insulates travel applications from the standards fragmentation in multimodal transport, ITRAIL liberates business-model innovations in the market-place, guaranteeing the economic self-sustainability of these e-services in the long-term.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-15-2014 | Award Amount: 5.75M | Year: 2015

Inside todays vehicles ~4000 CAN-Bus signals/sec are processed in comparison to very few signals in smart phones and alike. This large amount of continuously gathered vehicle data represents major big data business potentials, not only for the automotive industry but in particular for cross-sectorial industries with interdisciplinary applications. With todays proprietary approaches focusing on bringing services into vehicles and the applied ignorance of customer privacy concerns, this major business potential is still locked because the automotive industry was not yet able to establish an open service ecosystem equivalent to the ones in the smart phone industry. The core intention of the AutoMat project is to innovate an open ecosystem for Vehicle Big Data, materializing in the form of a cross-border Vehicle Big Data Marketplace that leverages currently unused information gathered from connected vehicles. The interface to the marketplace is derived from a Common Vehicle Information Model that makes mined and anonymous vehicle data from various OEMs accessible to cross-sectorial service providers. With the huge amount of volatile data from vehicles, the AutoMat ecosystem heavily builds upon current trends in Big Data. Exemplary service scenarios, driven by service providers dedicated to generate concrete businesses from the AutoMat ecosystem, are developed in the context of meteorological data based hyper local and extended innovative enterprise service domains. By defining an open value chain, the proposed AutoMat ecosystem enables and stimulates parties from different sectors to focus on their core businesses and to excel collaboration with other partners. AutoMat therefore may serve as incubator for new business opportunities strengthening Europes position as provider of innovative cross-sectorial and cross-border Big Data services. The latter aspect is actively stimulated during the project by an Open Service Contest based upon the AutoMat Big Data ecosystem.


A method and system for creating geometry for ADAS are described. Link chains, which are a sequence of segments, are created. The link chains are used to create 2D splines. The link chains, the 2D splines, and height data are used to create 3D splines. The 3D splines and possibly the 2D splines are converted to Bezier curves, which can be used to create a 2D polyline. ADAS applications can use the Bezier curves and the 2D polylines to provide ADAS functions.


Patent
Navteq | Date: 2014-04-22

The disclosed embodiments relate to recognition of navigation and/or guidance related information within an expressed conversational narrative between a provider of the narrative and a receiver thereof. The recognized navigation and/or guidance related information is then converted into navigation data which may be used to present a navigation route and/or guidance information related thereto to the receiver.


Patent
Navteq | Date: 2014-05-07

A navigation system comprises a processor, a geographic database and a guidance application executable on the processor. The guidance application obtains data from the geographic database and obtains a photographic image. The guidance application overlays an advertisement route highlight on said photographic image. The advertisement route highlight graphically illustrates a path corresponding to a route and a direction of travel for the route. The advertisement route highlight includes a series of advertisement decals.


Disclosed is a feature for a vehicle that enables taking precautionary actions in response to conditions on the road network around or ahead of the vehicle, in particular, an intersection without traffic signals and without a sufficient merge lane. A database that represents the road network is used to determine locations where roads meet without a traffic signal and without a sufficient merge lane. Then, precautionary action data is added to the database to indicate a location at which a precautionary action is to be taken about the location of the insufficient merge lane. A precautionary action system installed in a vehicle uses this database, or a database derived therefrom, in combination with a positioning system to determine when the vehicle is at a location that corresponds to the location of a precautionary action. When the vehicle is at such a location, a precautionary action is taken by a vehicle system as the vehicle is approaching a location of an insufficient merge lane.


An approach is provided for complementing various devices and/or instruments by utilizing augmented reality and providing an adaptive user interface to a user at a user device. A user device determines one or more information items associated with at least one instrument panel of at least one vehicle. Then the user device determines one or more representations of the one or more information items and causes, at least in part, a presentation of the one or more information items at the user device, wherein the user device may complement and/or may be substituted for the at least one instrument panel.


Systems, devices, features, and methods for determining geographic features corresponding to a travel path to develop a map database, such as a navigation database, are disclosed. For example, one method comprises emitting light from a light source, such as a LIDAR device, while on the travel path. Returning light is received based on the emitted light. The returning light is used to generate data points representing an area about the travel path. The data points are filtered as a function of a return intensity value to identify a feature associated with the travel path, in which the feature is treated with a retroreflective substance.


A method and system for using data associated with a first vehicle and a given road segment defined for a road network and using data associated with a second vehicle and the given road segment to determine a multi-vehicle probability value that indicates a probability that the first vehicle and the second vehicle will arrive at a common position of the given road segment simultaneously. The multi-vehicle probability value can be compared to a threshold probability value to determine whether the first vehicle and/or the second vehicle should take a responsive measure to avoid those vehicles arriving at the common position of the given road segment simultaneously. The data associated the first vehicle and the data associated with the second vehicle can each include a respective electronic horizon for that vehicle, and time parameters and probability values associated with those vehicles being on the given road segment.


A method and system for using Bezier curves in vehicle positioning and electronic horizon applications for providing data to advanced driver assistance systems (ADAS) applications are disclosed. The Bezier curves are obtained from B-splines. The obtained Bezier curves are subdivided in a manner that allows the vehicle positioning application to derive a polyline representation in real time. Using the Bezier and polyline geometry, the vehicle positioning application provides a vehicle position approximation to the ADAS applications. Using the Bezier curves, the electronic horizon application provides curvature, slope, and heading profiles to the ADAS applications.

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