Explore the words cloud of the INLANE project. It provides you a very rough idea of what is the project "INLANE" about.
The following table provides information about the project.
Coordinator |
FUNDACION CENTRO DE TECNOLOGIAS DE INTERACCION VISUAL Y COMUNICACIONES VICOMTECH
Organization address contact info |
Coordinator Country | Spain [ES] |
Project website | http://inlane.eu/ |
Total cost | 3˙281˙028 € |
EC max contribution | 2˙642˙935 € (81%) |
Programme |
1. H2020-EU.2.1.6. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space) |
Code Call | H2020-Galileo-2015-1 |
Funding Scheme | IA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-01-01 to 2018-06-30 |
Take a look of project's partnership.
Lane-level positioning and map matching are some of the biggest challenges for navigation systems. Although vehicle telematics provide services with positioning requirements fulfilled by low-cost GNSS receivers, more complex road and driver assistance applications are increasingly been deployed, due to the growing demand. These include lane-level information as well as lane-level navigation and prioritised alerts depending on the scenario composition (traffic sign, navigation instructions, ADAS instructions). These applications need a more accurate and reliable positioning subsystem. A good example of these new requirements can be witnessed in the increasing interest in navigation at lane-level, with applications such as enhanced driver awareness, intelligent speed alert and simple lane allocation. As well as the accuracy of positioning data being a big driver, there is also a question around the adaptability of navigation systems to these applications. This depends firstly on the availability of an accurate common reference for positioning (an enhanced map) and secondly, on the level of the provided pose estimation (integrity). However, neither the current road maps nor the traditional integrity parameters seem to be well suited for these purposes. Delivering lane-level information to an in-vehicle navigation system and combining this with the opportunity for vehicles to exchange information between themselves, will give drivers the opportunity to select the optimal road lane, even in dense traffic in urban and extra-urban areas. Every driver will be able to choose the appropriate lane and will to be able to reduce the risks associate with last-moment lane-change manoeuvres. inLane proposes new generation, low-cost, lane-level, precise turn-by-turn navigation applications through the fusion of EGNSS and Computer Vision technology. This will enable a new generation of enhanced mapping information based on crowdsourcing.
Project final report | Documents, reports | 2019-05-30 17:15:16 |
Report on developed vision-based software modules v2 | Documents, reports | 2019-05-30 17:15:12 |
SDK for interfacing to allow third parties to include their navigation application | Other | 2019-05-30 17:14:59 |
Marketing Materials | Other | 2019-05-30 17:15:10 |
Report on Lane level Navigation application and enhanced maps v1 | Documents, reports | 2019-05-30 17:15:03 |
Data management plan v1 | Documents, reports | 2019-05-30 17:15:11 |
Report on developed software modules that fuse EGNOS-GNSS absolute position estimates, IMU relative positions estimates, and vision-based (map matching) absolute position estimates. v2 | Documents, reports | 2019-05-30 17:15:12 |
Report of annual dissemination activities v1 | Documents, reports | 2019-05-30 17:15:08 |
Report on sensor-to-map data alignment v1 | Documents, reports | 2019-05-30 17:15:22 |
Report on protection and use of foreground IPR | Documents, reports | 2019-05-30 17:15:10 |
Report on Prototype Integration, Validation and Testing Protocols v1 | Documents, reports | 2019-05-30 17:15:03 |
Report on User trials v1 | Documents, reports | 2019-05-30 17:15:01 |
Quality assurance plan | Documents, reports | 2019-05-30 17:15:13 |
Standardisation plan v2 | Documents, reports | 2019-05-30 17:15:10 |
Report on developed software modules that fuse EGNOS-GNSS absolute position estimates, IMU relative positions estimates, and vision-based (map matching) absolute position estimates v1 | Documents, reports | 2019-05-30 17:15:04 |
Report of annual dissemination activities v2 | Documents, reports | 2019-05-30 17:15:09 |
Standardisation plan v1 | Documents, reports | 2019-05-30 17:15:10 |
Report on Lane level Navigation application and enhanced maps v2 | Documents, reports | 2019-05-30 17:15:04 |
Data management plan v2 | Documents, reports | 2019-05-30 17:15:05 |
Report on sensor-to-map data alignment v2 | Documents, reports | 2019-05-30 17:15:22 |
Report on developed vision-based software modules v1 | Documents, reports | 2019-05-30 17:15:16 |
Periodic report | Documents, reports | 2019-05-30 17:15:13 |
Report on User trials v2 | Documents, reports | 2019-05-30 17:15:08 |
Report on Prototype Integration, Validation and Testing Protocols v2 | Documents, reports | 2019-05-30 17:15:05 |
Take a look to the deliverables list in detail: detailed list of INLANE deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
Benedict Flade, Edoardo Casapietra, Christian Goerick, Julian Eggert Behavior-Based Relative Self-Localization in Intersection Scenarios published pages: , ISSN: , DOI: |
20th International IEEE Conference on Intelligent Transportation Systems, 2017 | 2019-06-18 |
2017 |
Julian Eggert, Daniela Aguirre Salazar, Tim Puphal, Benedict Flade Driving Situation Analysis with Relational Local Dynamic Maps (R-LDM) published pages: , ISSN: , DOI: |
FAST-zero Symposium 2017 | 2019-06-18 |
2016 |
O. Otaegui (VICOM), G.Velez (VICOM), F. Fischer (ERTICO), J. Eggert (HRI), M Al-Mamud (INTEL), J. Seybold (TCA), R. van Venrooy (TOMTOM), G. Dubbelman (TUE), J. Tirone (ACASA), D. Betaille (IFSTTAR), J. Ortuño (IMI) Low Cost GNSS and Computer Vision Fusion for ADAS(Paper ID: EU-TP0308) published pages: , ISSN: , DOI: |
2019-06-18 | |
2017 |
Gorka Velez, Oihana Otaegui Embedding vision-based advanced driver assistance systems: a survey published pages: 103-112, ISSN: 1751-956X, DOI: 10.1049/iet-its.2016.0026 |
IET Intelligent Transport Systems 11/3 | 2019-06-18 |
2017 |
Axel Koppert Fusion von GNSS und Visual Odometry als Grundlage für fahrspurgenaue Navigation und Crowdsourcing von Kartendaten published pages: , ISSN: , DOI: |
AHORN 2017 | 2019-06-18 |
2018 |
Benedict Flade, Marcos Nieto, Gorka Velez and Julian Eggert Lane Detection Based Camera to Map Alignment Using Open-Source Map Data published pages: , ISSN: , DOI: |
21st IEEE International Conference on Intelligent Transportation Systems | 2019-06-18 |
2018 |
David Bétaille, Miguel Ortiz, Gorka Velez, Oihana Otaegui Standardization issues related to hybrid GNSS positioning published pages: , ISSN: , DOI: |
25th ITS World Congress | 2019-06-18 |
2018 |
Anweshan Das, Gijs Dubbelman An Experimental Study on Relative and Absolute Pose Graph Fusion for Vehicle Localization published pages: , ISSN: , DOI: |
 29th IEEE Intelligent Vehicles Symposium (IEEE IV 2018) | 2019-06-18 |
2017 |
Johannes Silberbauer, Benedict Flade, Stephan Hasler, Malte Probst , Julian Eggert Strategies for Improving Camera to Map Alignment published pages: , ISSN: , DOI: |
2019-06-18 | |
2018 |
Benedict Flade, Marcos Nieto, Gorka Vélez Isasmendi, Julian Eggert Lane-level self-localization using open source map data stored in a local dynamic map published pages: , ISSN: , DOI: |
21st International IEEE Conference on Intelligent Transportation Systems | 2019-06-18 |
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The information about "INLANE" are provided by the European Opendata Portal: CORDIS opendata.