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Computer Vision for Advanced Driver Assistance Systems (Olga Mirkina Technology Stream)
Luxoft specializes in engineering software technology for various industries, particularly focusing on automotive advancements such as autonomous driving and advanced driver assistance systems (ADAS). Their innovative solutions incorporate computer vision, augmented reality, and vehicle sensor data to enhance navigation and safety features in vehicles. The company aims to exceed client expectations by delivering high-quality, cutting-edge technology and integrating dynamic navigation information through data fusion techniques.
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Computer Vision for Advanced Driver Assistance Systems (Olga Mirkina Technology Stream)
- 1. www.luxoft.com ENGINEERING SOFTWARE TECHNOLOGY AUTOMOTIVE TRAVEL AND AVIATION ENERGYTELECOM FINANCIAL SERVICES COMPUTER VISION FOR ADVANCED DRIVER ASSISTANCE SYSTEMS
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- 5. www.luxoft.com Levels of AutonomousDriving Active ADAS Autonomous Driving Informational ADAS DISPLAY Augmented Reality HUD Top View ACC Lane keeping LDW distance rear cam Piloted Parking … Source: Intel
- 6. www.luxoft.com Computer Vision andAugmented Reality Applications COMPUTER VISION Pattern Recognition Image Processing Physics Signal Processing Arfificial Intelligence Mathematic s City Driving Pattern Augmented Navigation Help in low visibility mode Signs recognition Infographics Next Gen of Adaptive Cruise Active Park Search
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- 9. www.luxoft.com In-Vehicle Architecture Computer VisionBox/Head Unit DSP Camera HD Camera Sensors/CAN Navigation System/Map Data - Positioning HUD LCD Glasses Digital Cluster Telematics/V2X
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- 11. www.luxoft.com Car Network -V2X MIT Technology Review Announced V2X communication as one of the 10 breakthrough technologies 2015. https://www.technologyreview. com/s/534981/car-to-car- communication/
- 12. www.luxoft.com Infrastructure for AutonomousDriving According to the Nikkei Asian Review, Tokyo-based Dynamic Map Planning is developing high definition and three-dimensional maps for self-driving cars. The map will enable the vehicles to drive smoothly, relaying critical information such as traffic lights, sharp turns, slopes in roads and road construction works.
- 13. www.luxoft.com Self-Driving Taxis BMW NazcaC2 Concept Rinspeed Budii
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- 15. www.luxoft.com Unique Solution We offera Unique Solution capable to create Augmented, mixed visual Reality for drivers and passengers based on Computer Vision, vehicle sensors, map data, telematics, navigation guidance using Data Fusion technique. CVNAR SolutionAutomotive Cameras Sensors/CAN Navigation System/Map Data Vehicle displays Projection on wind shield Smart Glasses VR devices Telematics/V2X
- 16. www.luxoft.com CVNAR Features Natural AugmentedReality 1. Basic vehicle data 2. Lanes and road boundaries 3. Road signs and cautions 4. Navigation data and hints 5. Facades highlights 6. Parking Places 7. Narrow street infographics 8. Street names and Complex Junctions boards 9. POI and OEM specific information Highlights: ◆ CPU, GPU; OS: Linux, QNX, Android ◆ HW: Intel, nVidia, TI, Renesas ◆ Extrapolation engines for latency avoidance ◆ Neural networks: CNN, DNN, Deep Learning Road scene recognition and objects tracking ◆ Road boundaries ◆ Lane detection ◆ Vehicle recognition and tracking ◆ Distance and time to collision estimation ◆ Pedestrian detection and tracking ◆ Facade recognition and texture extraction ◆ Road signs recognition ◆ Parking slot recognition Positioning ◆ Precise relative and absolute positioning ◆ Flexible data fusion and smooth Map Matching ◆ Automotive constrained SLAM Integration and Fusion 1. Sensor data 2. External positioner data (optional) 3. External recognition engine integration 4. Pupil tracking 5. Telematics: V2I and V2V
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- 22. www.luxoft.com Universal Energy Minimizationfor MRF-based Formulations Depth map retrieving based on synchronized stereo pair – Energy minimization
- 23. www.luxoft.com MRF-BASED VIDEO STITCHING Normalcase – two images Highly distorted case – several images Smooth, seamless and computational efficient stitching of video from calibrated cameras
- 24. www.luxoft.com Dynamic Information &Learning Navigation Compact Delta Information is compiled using collected and preprocessed data Backend access and analyses different cloud sources (Learning Navigation) for compilation Each car provides collected data to the backend Dynamic Navigation Information is provided to users via OTA Cars collect actual navigation data from roads using built-in cameras & sensors Dynamic Data External Navigation data providers
- 25. www.luxoft.com Recognition-based Update ofNavigation DB ◆ Lanes recognition for DB update: ◆ Number of lanes ◆ Highway exit recognition and localization ◆ Lane marking type recognition ◆ Temporal/new road signs recognition for DB update
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- 27. www.luxoft.com Head Unit LCDDisplay
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- 29. www.luxoft.com POIs, House numbers, DestinationHighlighting
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- 32. www.luxoft.com THANK YOU “Our missionis to GO BEYOND the client expectations by bringing together technology, talent, innovation and highest quality standards.”