MATLAB Expo 2014 Verkehrszeichenerkennung in Fahrerassistenzsystemen Continental

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2 Senses for Safety. Driver assistance systems help save lives. MATLAB Expo 2014 Verkehrszeichenerkennung in Fahrerassistenzsystemen Continental Chassis & Safety Division Advanced Driver Assistance Systems

3 Continental Corporation Five Strong Divisions Chassis & Safety Vehicle Dynamics Hydraulic Brake Systems Passive Safety & Sensorics Advanced Driver Assistance Systems (ADAS) Powertrain Engine Systems Transmission Hybrid Electric Vehicle Sensors & Actuators Fuel Supply Interior Instrumentation & Driver HMI Infotainment & Connectivity Body & Security Commercial Vehicles & Aftermarket Tires PLT, Original Equipment PLT, Repl. Business, EMEA PLT, Repl. Business, The Americas PLT, Repl. Business, APAC Commercial Vehicle Tires Two Wheel Tires ContiTech Air Spring Systems Benecke-Kaliko Group Compounding Technology Conveyor Belt Group Elastomer Coatings Fluid Technology Power Transmission Group PLT Passenger and Light Truck Tires Vibration Control 3

4 ADAS Business Unit Global Footprint Lead Plant Lewes, GBR Ingolstadt, GER Nuernberg, GER Regensburg,GER Yokohama, JAP Auburn Hills, USA SOP 2014 Ulm, GER Headquarters SOP 2015 Calamba, PH Seguin, USA Lindau, GER SOP 2016 SOP 2016 Bangalore, IND Engineering Production Sales Karben, GER Ottobrunn, GER Timisoara, ROM Sibiu, ROM 4

5 ADAS Functions Overview & Motivation 70% of all serious accidents could potentially be avoided by driver assistance systems (BAST Germany) Traffic Sign Assist Emergency Brake Assist Lane Departure Warning Adaptive Cruise Control Increase safety & comfort is our mission! Surround View Blind Spot Detection Intelligent Headlamp Control Rear Cross Traffic Alert 5

6 Multi Functional Camera One Camera for Multiple Functions Lane Recognition Light Sensing Traffic Sign Recognition Vehicle Detection Pedestrian Detection 6

7 Challenges Getting confused? 7

8 Challenges Sign Set Recognized sign types with and without navigation input (with examples) Speed limits No-passing Cancellations Electronic Directional/ no entry Stop signs 8

9 Circular Sign Recognition Algorithm Video Camera Grayscale Image 9

10 Circular Sign Recognition Algorithm Video Camera Grayscale Image Edge Detector 10

11 Circular Sign Recognition Algorithm Video Camera Grayscale Image Edge Detector Hough Transformation 11

12 Circular Sign Recognition Algorithm Video Camera Grayscale Image Edge Detector Hough Transformation Tracker 12

13 Circular Sign Recognition Algorithm Video Camera Grayscale Image Edge Detector Hough Transformation Tracker Classification 13

14 Circular Sign Recognition Algorithm Video Camera Grayscale Image Edge Detector Hough Transformation Tracker Classification Result: 14

15 MATLAB Tooling Example: Traffic Sign Recognition - Classifier Training MATLAB Tools are developed and used for Development / training, analysis, review, evaluation Interaction with different databases Advantages Easy and fast pre-development Evaluation and generation of key performance indicators GUI and user friendly interfaces Example: Classifier Training Training of classifiers for Traffic Sign Recognition is data driven Automated training Handling of large databases Evaluation and analysis 15

16 Labeled Data Ground Truth Labeling Label Inspector MATLAB Toolchain Scene Inspector Camera Traffic Sign Assist Algorithm Recording / Algorithm Output 16

17 Scene Inspector 17

18 Scene Inspector 18

19 Scene Inspector 19

20 Synthetic Sign Data Labeled Data Ground Truth Labeling Sample Inspector Label Inspector Traffic Sign Recognition / Classification MATLAB Toolchain Scene Inspector Camera Traffic Sign Assist Algorithm Recording / Algorithm Output 20

21 Sample Inspector 21

22 Evaluation MATLAB Toolchain - Image Processing Toolbox - Signal Processing Toolbox - Statistics Toolbox - Curve Fitting Toolbox - Parallel Computing Toolbox 22

23 Summary MATLAB is used in daily work for development and evaluation of driver assistance functions Prototypes are designed with MATLAB for predevelopment and proof of concept Data management, evaluation, and interactive analysis are supported by MATLAB tools and GUIs Traffic Sign Recognition and other functions make high use of MATLAB tools MATLAB and its established features reduces our tool development efforts, accelerates our simulation cost, and allows reliable, repeatable and accurate parameter optimizations Engineers having good MATLAB programming skills are highly requested 23

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