Ended

ESCAPE (European Safety Critical Applications Positioning Engine)

The European Safety Critical Applications Positioning Engine (ESCAPE)  is a 3 years project designed to fullfil requirements of Autonomous Vehicles exploiting E-GNSS differentiator. Title It is funded by the European GNSS Agency (GSA) under the European Union’s Fundamental Elements research and development programme.

With connected vehicles and autonomous driving vehicles being the most relevant trend in the automotive sector there is a clear need to provide accurate and reliable positioning information for safety-critical applications. Within the context of road transportation, safety-critical applications are defined as those that possess the potential to, directly or indirectly, avoid causing harm to humans, destroying the vehicle or damaging external property or the environment. Autonomous driving, advanced driver-assistance systems (ADAS) and dangerous goods transportation are all included in this group.

The traditional way of providing the required accurate and reliable positioning information is to make use of multiple sources of sensor data. The problem with this approach is that it requires the use of such sophisticated equipment as radar/lidar-based sensor and cameras, which tend to be expensive. Furthermore, as this equipment is not specifically designed for use with automotive consumer applications, it is not fully suitable to provide reliable positioning information.

European Safety Critical Applications Positioning Engine – ESCAPE project aims to overcome these multiple challenges by developing a dedicated, reliable and accurate engine, specifically designed for automotive safety-critical applications.

The GNSS receiver in the ESCAPE engine will feature multi-constellation, multi-frequency capabilities and will be enabled to receive and process the upcoming Galileo OS authenticated signals, which is one of the key differentiators of the European GNSS, expected to be broadcast starting form 2018.

HAPPYHAND

The HAPPYHAND2 project is a 4-year project financed by the French inter-ministerial fund FUI, in which GExpertise Conseil and Ocentis, the GEOLOC and LOUSTIC-Université Rennes 2 laboratories participate. It began on 29 September 2015.

The project aims at improving the mobility of people with temporary (or permanent) mobility difficulties, without using a vehicle thanks to

  • the mapping of urban space and its obstacles,
  • calculating routes according to disability profile and
  • real time navigation assistance on connected object.

The construction of the map is performed with an authorized instrumented vehicle (VRA) and the outcome is used to compute customized itineraries. A mobility aiding tool assist the user thanks to a precise geolocation and a telematic assistance service. The automatic feedback of behavioral alerts offers other services starting from automatic alerts up to onsite intervention in the event of a problem. The services will be enriched by the acquisition of data with the VAR but also by the customers in a crowdsourcing way.

This project is supported by laboratory cities (Nantes, Rennes). Associations on mobility and disability have also expressed interest. This commitment of third parties will benefit the experimentation that it proposes, or even a large scale distribution of the products and services resulting from the project.

INLANE (Lane Navigation Technology)

InLane is a 3-years European Project funded by the European GNSS Agency under the European Union’s Horizon 2020 innovation programme that aim at develoing a low-cost, lane-level, precise turn-by-turn navigation application through the fusion of EGNSS and Computer Vision technology.

It envisions a new generation of enhanced mapping information, made possible by real-time updates based on crowdsourcing techniques, which will result in lane-level vehicle positioning to take navigation to a new level of detail and effectiveness.

 

 

COST Action SaPPART (Satellite Positioning Performance Assessment for Road Transport) 

This Action is a network of European scientists and industrial stakeholders who have decided to collaborate on the topic of performance assessment of the GNSS-based terminals used in road transport or personal mobility applications.

The Action, chaired by Ifsttar (François Peyret), will take place from November 2013 to November 2017. The network gathers presently 13 European countries but remains open to other participants, according to the COST rules.

Main objective of the Action

Set up a European Framework for the definition of the service levels for the positioning terminals and has programmed the output of 3 paper deliverables as well as a data base, and the organization of numerous knowledge dissemination events such as seminars, conferences, summer schools, etc.

smartWALK (smart Walk with Autonomous Localisation Knowhow)

The final outcome of smartWALK consists in autonomous localisation algorithms embedded in a smartphone for providing the most accurate indoor and outdoor localisation to walkers holding inertial and magnetic field sensors in hand. 

This project has won the prestigious 100 000 euros Marie Curie Career Integration Grant. This European Fellowship aims at encouraging researchers after a period of mobility. Projects winners are selected in an open competition based on the applicant’s career, the excellence of the research proposal and its integration in the host institution.

Inturb (Integrity in urban environement) 

This research project funded by the DGITM (Directorate General of Infrastructure, Transport and Maritime Affairs) aims at improving the accuracy of GPS in cities. Finally, we also propose a confidence indicator that guarantees this accuracy. 

Using knowledge of the buildings (IGN data) surrounding the GPS receiver to detect and correct satellite measurements disturbed by occultation and reflection on the walls..

LOGIDEK (geolocalized meeting for logistik application)

LOGIDEK project aims at developing both a web and smartphone based applications targeting the logistics sector for  improving the delivery process over the last kilometre. The system is based on the mutual sharing of the carrier’s and the customer’s geographical positions over a short time period.

The main challenges addressed by the project are:

  • Seamless reliable geolocalisation 
  • Saving of the smartphone battery
  • Continuous service irrespective of the level of demand
  • Low operating costs for an increased profitability
  • Social acceptance

 Three complementary regional key players have joined their forces and expertise for achieving these objectives:

  • JOUL: young innovative enterprise expert in geolocated data sharing
  • IDEA Logistics: SME, key player in industrial logistics
  • GEOLOC laboratory

Main outcomes

  • Commercial: thanks to an appealing and essential product for potential customers in the transports and logistics sectors in order to decrease their operating costs
  • Scientific: by pushing the limits of existing state of the art on smartphone based indoor/outdoor geolocalisation systems and methods for general public

French Ecotax System 

In 2009, GEOLOC has been involved in the assessment of the first embedded system proposed by all the candidates. Expertise has focused on the study of the precision of position delivered by each of  the GNSS modules and the performance of the algorithm responsible for the detection of the charging points. In 2012, IFSTTAR was government appointed “homologation organization” for the whole project. This task is carried out by GEOLOC.

CityVIP 

Funded by the ANR (National Research Agency) under the PREDIT (Program of research and innovation in ground transportation), CityVIP is a partnership project that demonstrates the feasibility of a robotic solution to perform the "last mile".

This designates the relatively short trips, on sites such as airports, hospitals, resorts ... that users (particularly disabled) must travel from the parking lot where they left their vehicle, or from a transit station.

GEOLOC contributed to the research and development of the navigation system of the robot.