From Taxisat to inLane
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From Taxisat to inLane
- 1. From TAXISAT to inLane: Towards Low Cost GNSS and Computer Vision Fusion for Accurate Lane Level Navigation and Enhanced Automatic Map Generation
- 2. The importance of ITS • The Global Market for ITS Technologies is estimated to grow to €50BN by 2020. • Automotive Industry is one of the most innovative sectors – Driver Assistance – Autonomous vehicles
- 3. • 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
- 4. Our basic idea Take advantage of EGNOS/EDAS and GALILEO capabilities, augmented by hybridization with low-cost sensors (cameras, gyroscope, accelerometer…), to improve localization performances while reducing production costs. +
- 5. Our first approach: TAXISAT • Objective: 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: 01/04/2012 Duration: 24 months
- 6. TAXISAT
- 7. What happened since TAXISAT (2014)?
- 8. Start from generated background: • Fusion of Visual Odometry and EGNSS signal • EGNOS usage studies Towards: • Lane Level Navigation in public roads • Local Dynamic Map generation • High Precision Cartography generation • Crowdsourced map updates Solution for niche market Solution for mass market
- 9. Coordinator: Vicomtech – IK4 Duration: 1 January 2016 – 30 June 2018 • Industrial partners representing the main sectors: – Cartography & Navigation Solution: TOMTOM – Electronics & Components: INTEL – Automotive & Robotic Industry: HONDA • SME specialised in GNSS: TeleConsult Austria • Computer Vision Research – Visual Odometry: TUE – Object recognition: Vicomtech – LDM, Camera to Map alignment: HONDA • Standarization: IFSSTAR • End Users/Stakeholders: RACC / ERTICO • Test sites: – Barcelona – DITCM
- 10. Local Dynamic Map generation Estimation of vehicle position Scene understanding GNSS Receiver + IMU EDAS Visual Odometry Lane detection Traffic Sign Recognition
- 11. Local Dynamic Map generation Estimation of vehicle position Scene understanding GNSS Receiver + IMU EDAS Visual Odometry Lane detection Traffic Sign Recognition Cloud
- 12. • In-vehicle computer: navigation system / driver assistance / Autonomous Driving. • Aftermarket device: navigation system / driver assistance. • Smartphone: navigation system / driver assistance. Target products
- 14. 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).
- 15. Conclusions • ITS Market represents a huge opportunity for the GNSS sector – From driver assistance solutions to autonomous vehicles • Sensor cost will be a limiting factor for the technology penetration • Sensor fusion is the key for the next generation affordable high automated vehicles – Precise and enriched Cartography is the first step towards the autonomous vehicles • Standards: need to develop GNSS performance standards to ease the deployment of ITS application based on GNSS solutions
Notas do Editor
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- Close circuits – dedicated lanes Not embedded solution Not mass market target Target 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.
- OEMs and other players in the automotive industry are looking for lower-cost methods to construct and maintain maps.
- 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.