Off-Road Drivable Area Mapping for Vehicle Routing Reliability
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Solution Overview
Problem
Routing vehicles in off-road areas, particularly in quarries and muddy conditions, is challenging due to unpredictable obstacles like puddles and wheel tracks, leading to potential vehicle stalling and costly downtime.
Innovation Solution
A computer system that processes vehicle and map data to determine drivable areas and optimize routing trajectories, considering vehicle capabilities and obstacle data, reducing the risk of vehicles getting stuck or damaged.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicles operate in off-road areas with unpredictable obstacles, then operational flexibility is improved, but vehicle reliability deteriorates due to risk of getting stuck or damaged
Solution Approach 1:
The system performs preliminary mapping and drivable area determination before vehicle operation. Obstacles are identified and classified in advance, and routing trajectories are pre-calculated based on vehicle capabilities and terrain conditions, preventing vehicles from encountering impassable obstacles during operation
Solution Approach 2:
The system continuously updates drivable area data based on vehicle position, terrain conditions, and obstacle detection. Routing trajectories are dynamically adjusted based on feedback from vehicle sensors and map data, allowing the system to adapt to changing conditions while maintaining vehicle safety
2Device complexity
If manual surveillance is used to avoid obstacles, then vehicle complexity is reduced, but productivity deteriorates due to operator workload and reaction time limitations
Solution Approach 1:
The autonomous vehicle system performs self-navigation by automatically processing map data, determining drivable areas, calculating routing trajectories, and controlling vehicle movement without human intervention. This eliminates operator workload while maintaining high operational efficiency through automated decision-making
3Reliability
If pre-recorded routes are used for autonomous vehicles, then routing reliability is improved, but adaptability deteriorates due to inability to handle unpredictable obstacles
Solution Approach 1:
The routing system dynamically calculates drivable areas and generates routing trajectories based on real-time vehicle capabilities, terrain conditions, and obstacle data. The system adapts routing paths dynamically as vehicles move through the off-road area, combining the reliability of structured routing with the adaptability to handle unpredictable obstacles
Data Source
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AI summary
A computer system (100) comprising processing circuitry (110) is presented. The processing circuitry (100) is configured to obtain vehicle data (210) of a specific vehicle (10, 20, 30) and obtain map data (260) of a confined off-road area (1). The processing circuitry (100) is further configured to determine drivable area data (325) for the specific vehicle (10, 20, 30) within the confined off-road area (1) based on the vehicle data (210) and the map data (260); and provide the drivable area data (325) for routing of the specific vehicle (10, 20, 30) within the confined off-road area (1).