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JARI-ARV(augmented reality vehicles)

JARI has developed ARV, an augmented reality experiment vehicle that resembles a road running type driving simulator. Compared to the conventional indoor type driving simulators, JARI-ARV can replicate more accurately the realities leading to traffic accidents. Using this simulator vehicle, it has become possible to analyze accident causes from actual driving data and to verify the effectiveness of various accident prevention measures. In combination with the mock roads and the omnidirectional-vision driving simulator, JARI-ARV can be used in a wide variety of accident prevention studies.

JARI-ARV(augmented reality vehicles)

 JARI-ARV profile

  • JARI-ARV is a passenger car having on its hood a video camera and a large display showing the video images of the surroundings realtime. The subject is instructed to drive the simulator vehicle along the test course while watching the video images, in much the same way as he/she normally drives on the road (see Figure 2).
  • The display system on the hood is capable of superposing virtual vehicles and pedestrians on the background scene of the mock road, thus reproducing dangerous situations such as sudden entry of a pedestrian or a vehicle into the driving scene from a blind corner.
  • JARI-ARV allows any possible traffic scene to be added to the display scenario from a PC.

Forward display view seen from inside JARI-ARV

Combination with driving simulators and mock roads

  • Combination with driving simulators and mock roads
    As shown in Reference-1, the omni-vision driving simulator permits many dangerous traffic situations to be programmed into its driving scenes, and replicates actual accident situations on the screen. But since the conventional simulators are used in indoor settings without actual on-road driving operation, it has been difficult for those simulators to obtain realistic driver actions and vehicle behaviors.
  • The mock roads, reproducing the typical structures of city roads, make up a unique test course at JARI (see Reference-2), which enables replication experiments on dangerous scenes. With the mock roads, however, it is not possible to reproduce dangerous situations involving human beings while only a limited number of traffic situations can be added to the replication experiments.
  • On the other hand, JARI-ARV incorporates the advantages of both driving simulators and mock roads – the first advantage being the reproduction of wide-ranging accident scenes and the second advantage being experimentation in the actual running environment. Consequently it is possible to apply JARI-ARV to a variety of active safety studies including the analysis of accident generation mechanisms and the development of accident prevention systems.

Characteristic of the JARI-ARV

Examples of JARI-ARV usage

As for JARI-ARV, the following utilization is expected.

  • Analysis of accident generation mechanisms
    Through driving tests on a test course with replicated dangerous traffic scenes, accident causing factors such as human error can be analyzed.
  • Support for driver assist system development
    JARI analyzes running data that are linked to accidents or dangerous situations so as to determine the driver’s characteristic actions and vehicle behaviors. We hope to obtain suitable driver assist methods and assess the effectiveness of warning and other accident avoidance measures.
  • Safe driving experience tools
    JARI makes use of various tools for professional, elderly and other drivers to experience mock accidents and dangerous traffic situations.

Example of use in accident generation mechanism study

  • Right-turn accident at an intersection
  • A vehicle-pedestrian accident

※3D computer-graphic images of a vehicle and a pedestrian