Passat CC

[Foto: Passat CC]

Test vehicle

[Foto: Passat CC]


Timo Woopen M.Sc.
Manager Research Area Vehicle Intelligence & Automated Driving
+49 241 80 23549

Test vehicle

Application examples from current and past research projects

[Video: V2I communication]
Energy Efficient Adaptive Cruise Control based on V2I communication
[Video: Camera based traffic jam assist]
Camera-based traffic jam pilot
[Video: Automated valet parking]
Automated Valet Parking

Further applications

Technical data and instumentation

  • acceleration interface (-3.5 m/s² – 2.5 m/s²)
  • brake booster (full deceleration capability)
  • electric accelerator pedal for acceleration
  • EPS with steering angle and torque interface
  • Shift-By-Wire interface
  • 6 radar sensors (4 x short range, 2 x mid/long range)
  • 1 laser scanner (front facing)
  • 12 ultrasonic sensors
  • mono camera with integrated lane- and object detection
  • mono camera for algorithm development
  • dSpace MicroAutobox/MPC565: model based (Simulink/C)
  • Vehicle-PC: EB Assist ADTF & Robot Operating System (ROS)

Optional measurement instumentation

  • RTK-GPS: OXTS RT3003 (with SmaRT-Range for target vehicle)
  • Smart Eye eyetracker
  • V2X communication: Cohda Mk5 Onboard Unit
    • ITS-G5 and WAVE protocol using 802.11p
    • Standardised (CAM, DENM, SPAT etc.) & free defined message format
  • 2 Velodyne VLP-16 laser scanner


Institute for Automotive Engineering (ika)
RWTH Aachen University

Steinbachstraße 7
52074 Aachen · Germany

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+49 241 80 25600
+49 241 80 22147