Transporter User Control with SLAM and Obstacle Navigation
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Solution Overview
Problem
Current personal vehicle control devices lack the ability to automatically detect and respond to environmental features, such as obstacles and stairs, which limits their safety and reliability when navigating through complex environments.
Innovation Solution
A user control device equipped with a processor that receives user input and sensor data to generate movement commands, utilizing a point cloud library processor, SLAM processor, and obstacle processor to navigate through doors, stairs, elevators, and other environments, and automatically adjust movement commands based on environmental information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic environmental detection and response is added to personal vehicle control devices, then safety and reliability are improved, but device complexity increases
Solution Approach 1:
The control device is divided into multiple specialized processors: a point cloud library processor for environmental feature recognition, a SLAM processor for localization and mapping, an obstacle processor for hazard detection, and a command processor for movement control. Each processor handles specific tasks independently, improving overall system reliability through functional decomposition while managing complexity through modular architecture.
Solution Approach 2:
The processor acts as an intermediary between raw sensor data and vehicle control actions. It receives environmental information from sensors, processes this data through multiple specialized modules, and generates appropriate movement commands. This intermediary layer enables automatic environmental detection and response without directly complicating the core control system.
2Adaptability or versatility
If multiple specialized processors are added to enable automatic environmental detection, then navigation capability is improved, but device complexity increases
Solution Approach 1:
The processor system is designed to handle multiple navigation tasks through a unified multi-functional architecture. The same processor infrastructure supports point cloud processing, SLAM operations, obstacle detection, and movement command generation, allowing the system to adapt to various environmental conditions and navigation scenarios without requiring separate dedicated systems for each function.
Solution Approach 2:
Multiple processing functions are merged into a single integrated processor system rather than using separate independent systems. The point cloud library processor, SLAM processor, obstacle processor, and command processor work together as a cohesive unit, sharing computational resources and data structures. This merging reduces overall system complexity while maintaining comprehensive navigation capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the safety and reliability of personal vehicles by enabling them to automatically avoid obstacles, traverse stairs, and navigate through various environments, improving user control and vehicle operation.
Implementation Method 1
The sensors can include at least one time-of-flight sensor that can be mounted anywhere on transporter
Data Source
AI summary
A user control device for a transporter. The user control device can communicate with the transporter via electrical interface(s) that can facilitate communication and data processing among the user interface device and controllers that can control the movement of the transporter. The user control device can perform automated actions based on the environment in which the transporter operates and the user's desired movement of the transporter. External applications can enable monitoring and control of the transporter.