What question did this study set out to answer?

The aim is to develop real-time detection methods for vehicles and pedestrians to enhance mobile robot navigation.

January 1, 1994

On-line vehicle and pedestrian detections based on sign pattern

Key Points

The aim is to develop real-time detection methods for vehicles and pedestrians to enhance mobile robot navigation.
Utilized shadow detection for vehicles and walking rhythm analysis for pedestrians.
Focused on signature-based stereotype motion for identifying moving subjects.
Conducted experiments to validate the proposed detection methods.
Confirmed the validity of vehicle detection using shadow signatures.
Validated pedestrian detection through unique walking rhythms.

Abstract

Real time detection methods of moving vehicles and pedestrians for navigation of the mobile robot are proposed. The method is based on a locomotion strategy, viz. signature-based stereotype motion. Signature of the moving vehicle is the shadow underneath the vehicle which is darker than any other parts of the asphalt paved road. Signature of the pedestrian is rhythm of walking. Rhythm of walking is unique to the pedestrian, and not influenced by time, weather, sunlight, shadow, and distance. Moreover, it is independent from clothes the pedestrian puts on. The result of experiments verify the validity of the methods.>

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