from taxisat to inlane
TRANSCRIPT
TAXISAT and inLane: Low Cost GNSS and Computer Vision Fusion for Accurate Lane Level Navigation and Enhanced Automatic Map Generation
From TAXISAT to inLane: Towards Low Cost GNSS and Computer Vision Fusion for Accurate Lane Level Navigation and Enhanced Automatic Map Generation
The importance of ITSThe Global Market for ITS Technologies is estimated to grow to 50BN by 2020.Automotive Industry is one of the most innovative sectorsDriver AssistanceAutonomous vehicles
Sensor Fusion is essential : no sole positioning sensor covers all requirements and constraints Combination of computer vision, 3D Maps and GNSS technologies are fostering new solutions not only for driving assistance but for unmanned vehicles
Technology trends
.3
Our basic ideaTakeadvantageofEGNOS/EDAS and GALILEOcapabilities, augmentedby hybridizationwithlow-cost sensors(cameras, gyroscope, accelerometer), toimprove localization performances whilereducing productioncosts.
+
Our first approach: TAXISATObjective: develop a robotic driverless GNSS and SLAM based taxi application capable to operate cost effectively, safely and with a high reliability within private circumscribed sites whatever their topographic configurations are.
Start date: 01/04/2012Duration: 24 months
TAXISAT
Close circuits dedicated lanesNot embedded solutionNot mass market targetTarget Markets: Airports, campus, logistics etc.Limited investment maximum reliability
Niche market: autonomous vehicle for close circuits with dedicated lanes, to use it in airports, parks, and so on.
6
What happened since TAXISAT (2014)?
OEMs and other players in the automotive industry are looking for lower-cost methods to construct and maintain maps.
7
Start from generated background:Fusion of Visual Odometry and EGNSS signalEGNOS usage studies
Towards:Lane Level Navigation in public roadsLocal Dynamic Map generationHigh Precision Cartography generationCrowdsourced map updates
Solution for niche marketSolution for mass market
So we decided to move from a solution for a niche market to a solution for mass market that could answer to the necessities of the automotive industry: to create lower-cost methods to construct and maintain maps.
Niche market: autonomous vehicle for close circuits with dedicated lanes, to use it in airports, parks, and so on.
8
Coordinator: Vicomtech IK4Duration: 1 January 2016 30 June 2018
Industrial partners representing the main sectors:Cartography & Navigation Solution: TOMTOMElectronics & Components: INTELAutomotive & Robotic Industry: HONDASME specialised in GNSS: TeleConsult AustriaComputer Vision ResearchVisual Odometry: TUEObject recognition: VicomtechLDM, Camera to Map alignment: HONDAStandarization: IFSSTAREnd Users/Stakeholders: RACC / ERTICOTest sites: BarcelonaDITCM
9
Local Dynamic Map generationEstimation of vehicle positionScene understanding
GNSS Receiver + IMUEDAS
Visual OdometryLane detectionTraffic Sign Recognition
10
Local Dynamic Map generationEstimation of vehicle positionScene understanding
GNSS Receiver + IMUEDAS
Visual OdometryLane detectionTraffic Sign Recognition
Cloud
11
In-vehicle computer: navigation system / driver assistance / Autonomous Driving.
Aftermarket device: navigation system / driver assistance.
Smartphone: navigation system / driver assistance.
Target products
Barcelona
Test sites
Currently
Working on first prototype:Defined requirements and architecture.Integrating first version of SW modules.Preparing testing:Defined methodology.Setting up instrumented vehicle (HW & SW).
ConclusionsITS Market represents a huge opportunity for the GNSS sectorFrom driver assistance solutions to autonomous vehiclesSensor cost will be a limiting factor for the technology penetrationSensor fusion is the key for the next generation affordable high automated vehicles Precise and enriched Cartography is the first step towards the autonomous vehiclesStandards: need to develop GNSS performance standards to ease the deployment of ITS application based on GNSS solutions
Web:
http://inlane.eu/
Mail:Gorka [email protected]
More information