RONov 1, 2016

Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode

arXiv:1611.00331v14 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for affordable and versatile autonomous vehicles, though it appears incremental as it modifies existing bicycles rather than introducing a new paradigm.

The paper tackled the problem of enabling autonomous navigation for a standard bicycle while preserving its manual operation, resulting in a low-cost dual-mode system that can switch between human-driven and autonomous control.

On the lines of the huge and varied efforts in the field of automation with respect to technology development and innovation of vehicles to make them run autonomously, this paper presents an innovation to a bicycle. A normal daily use bicycle was modified at low cost such that it runs autonomously, while maintaining its original form i.e. the manual drive. Hence, a bicycle which could be normally driven by any human and with a press of switch could run autonomously according to the needs of the user has been developed.

Foundations

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