Smartphone Vehicle Remote Control With Sensor-Guided Obstacle Avoidance
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Solution Overview
Problem
Current remote-control vehicle systems lack user control over the vehicle's path and are limited by the need for line of sight and inability to adjust to environmental changes, leading to potential crashes.
Innovation Solution
A remote control platform equipped with sensors and an electronic control unit that detects objects in the vehicle's environment, allowing users to specify detailed driving instructions, including orientation and route, to navigate the vehicle around obstacles, using smartphone or gesture input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle determines the optimal path autonomously, then the system complexity is reduced, but the user control over the navigation path is lost
Solution Approach 1:
The navigation control is segmented into two levels: high-level route planning (user-defined start and end points) and low-level path optimization (autonomous obstacle avoidance and route calculation). This segmentation allows users to retain control over the fundamental navigation intent while the system autonomously handles the complex path-finding details, resolving the contradiction between user control and system complexity.
2Adaptability or versatility
If the vehicle uses autonomous path determination, then the ease of operation is improved, but the adaptability to environmental changes deteriorates
Solution Approach 1:
The system continuously receives feedback from sensors about the vehicle's surroundings, including obstacle detection and environmental changes. This feedback loop enables the vehicle to dynamically adjust its path in real-time while the user maintains overall control by setting the destination and reviewing suggested routes, thus achieving both adaptability and user control.
3Measurement precision
If line of sight is required for remote control, then the measurement precision is improved, but the operational flexibility is reduced
Solution Approach 1:
The system replaces the mechanical requirement of line-of-sight visual monitoring with electronic sensor-based environmental detection. Sensors such as cameras, LIDAR, and ultrasonic detectors continuously map the surroundings, providing precise environmental data without requiring the user to visually observe the vehicle, thereby eliminating the line-of-sight constraint while maintaining detection accuracy.
Data Source
AI summary
Methods, systems, devices and apparatuses for a remote control platform. The remote control platform includes a sensor. The sensor is configured to detect one or more objects within a surrounding environment of the vehicle. The remote control platform includes an electronic control unit. The electronic control unit is coupled to the sensor. The electronic control unit is configured to determine an orientation of the vehicle and a route that includes a direction of travel. The electronic control unit is configured to navigate the vehicle along the route based on the one or more objects, the direction of travel and the orientation of the vehicle.