Autonomous Vehicle Drive Control for Uneven Road Surfaces
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Solution Overview
Problem
Existing unmanned autonomous vehicles do not adequately account for road surface conditions, leading to potential damage from obstacles like stones or gravel, and may struggle with weather and terrain, resulting in inefficient navigation and equipment damage.
Innovation Solution
A driving apparatus and control method that utilize sensors to determine road surface conditions through vision information, vibration, ambient sound, slip rate, weather, and prior travel information, adjusting driving speeds and modes to navigate obstacles effectively, including setting individual or uniform speeds for propulsion units based on determined conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the vehicle travels considering only obstacles on the route, then navigation capability is improved, but damage from road surface conditions occurs
Solution Approach 1:
The sensing system is divided into multiple independent sensors (vision generation sensor, vibration sensor, ambient sound sensor) that each detect different aspects of the environment. The controller processes signals from each sensor separately and integrates them to comprehensively determine road surface conditions, preventing damage while maintaining navigation capability.
2Measurement precision
If multiple sensors are used to determine road surface conditions, then detection accuracy is improved, but device complexity increases
Solution Approach 1:
The controller serves multiple functions: it processes vision information from the vision generation sensor, vibration signals from the vibration sensor, and ambient sound from the ambient sound sensor. By integrating these diverse sensing capabilities into a single control unit that determines road surface conditions and controls vehicle propulsion, the system achieves high detection accuracy without proportionally increasing overall system complexity.
3Reliability
If driving speed is adjusted according to road surface conditions, then vehicle safety is improved, but travel time increases
Solution Approach 1:
The driving apparatus dynamically adjusts its driving speed based on real-time road surface condition assessments. When hazardous conditions are detected (stones, gravel, ice), the controller reduces speed to prevent damage. When conditions are safe, the vehicle maintains higher speeds. This dynamic adaptation ensures safety while minimizing unnecessary time loss.
Data Source
AI summary
A driving apparatus and a driving control method is provided. The driving apparatus includes vehicle body; a plurality of vehicle propulsion bodies connected to the vehicle body and configured to enable the vehicle body to travel; at least one sensor configured to sense surroundings of the vehicle body; and a controller configured to control the vehicle body to travel by referring to at least one sensing result of the at least one sensor, wherein the at least one sensor includes a vision generation sensor configured to generate vision information regarding a travel route of the vehicle body and wherein the controller is further configured to determine a road surface condition of the travel route by referring to the vision information, and adjust a difference in driving speed between the plurality of vehicle propulsion bodies according to the road surface condition.