Safe and Automatic Driving System of a Personal Intelligent Vehicle by Cooperation with a Small Unmanned Vehicle

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Ken WATANABE
Graduate School of Information Science, Nagoya University
Katashi NAGAO
Graduate School of Information Science, Nagoya University

Abstract

We are conducting a research project of a personal intelligent vehicle called AT (Attentive Townvehicle). AT has a function of automatic driving to the destination that its passenger specified.During automatic driving, it is difficult for AT to avoid moving obstacles that are approaching AT from dead areas of AT's sensors. Therefore, we solved the problem by extending sensing areas of AT based on a Small Unmanned Vehicle (SUV). SUV can search for places where there are some dead areas of AT on the way to its destination. SUV autonomously moves to the places and probes circumstances around there as a substitute of AT. Based on the above the mechanism, We developed a method of automatic safe transportation and evaluated its underlying techniques.

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Configuration of AT

Fugure1: Configuration of AT

Information of obstacles detected by range sensor

Fugure2: Information of obstacles detected by range sensor

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Configuration of SUV

Fugure3: Configuration of SUV

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4.1

Example of occupancy grid map

Fugure4: Example of occupancy grid map

4.2

Distance between initial location and current location

Fugure5: Distance between initial location and current location

Trajectories of “with localization” and “without localization”

Fugure6: Trajectories of “with localization” and “without localization”

4.3

Obstacles on the map and the boundaries

Fugure7: Obstacles on the map and the boundaries

Graph structure data annotated on the map and example route

Fugure8: Graph structure data annotated on the map and example route

4.4

Target areas of autonomous run of SUV

Fugure9: Target areas of autonomous run of SUV

Errors of distance between destination and stopped location

Fugure10: Errors of distance between destination and stopped location

Result of the experiment of autonomous run

Fugure11: Result of the experiment of autonomous run

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5.1

Algorithm of detection of cautious-running areas

Fugure12: Algorithm of detection of cautious-running areas

Detected cautious-running areas

Fugure13: Detected cautious-running areas

5.2

Example of the route and the correct data

Fugure14: Example of the route and the correct data

Example of the route and the detected results

Fugure15: Example of the route and the detected results

Accuracy of detection of cautious-running areas

Fugure16: Accuracy of detection of cautious-running areas

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6.1

Expanded sensing area of AT using SUV

Fugure17: Expanded sensing area of AT using SUV

6.2

6.3

Accuracy of detection of moving obstacle

Fugure18: Accuracy of detection of moving obstacle

Distance to obstacles detected by range sensor

Fugure19: Distance to obstacles detected by range sensor

Distance to obstacles detected by Kinect

Fugure20: Distance to obstacles detected by Kinect

6.4

SUV stopped at a cautious-running area and AT’s display at the time

Fugure21: SUV stopped at a cautious-running area and AT’s display at the time

Detection of a moving obstacle by SUV

Fugure22: Detection of a moving obstacle by SUV

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