Autonomous Driving Route Planning for Hazardous Terrain Zones
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Solution Overview
Problem
Conventional techniques for creating driving routes for autonomous vehicles do not consider the characteristics of areas with remarkable features, such as inclines or uneven terrain, which can lead to vehicles overturning or getting stuck.
Innovation Solution
An instruction device and method that generate a driving route based on actual driving data, identifying dangerous zones and adjusting the route accordingly, allowing for flexible route generation and application of driving conditions tailored to the vehicle's performance data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional route creation techniques are used that do not consider terrain characteristics, then the route generation process is simple, but the vehicle may overturn or get stuck in areas with remarkable characteristics
Solution Approach 1:
The system performs preliminary actions by collecting actual driving data during actual driving steps before creating the final driving route. The instruction device stores this data and uses it to identify dangerous zones and determine appropriate driving conditions in advance, ensuring vehicle safety without adding complexity to the route creation process itself.
Solution Approach 2:
The system implements feedback by using actual driving data collected from the vehicle's sensors (yaw angular velocity, acceleration) to continuously improve route creation. The instruction device analyzes this feedback data to determine dangerous zones and sets appropriate driving conditions, creating a closed-loop system that enhances reliability while maintaining simple route generation.
2Reliability
If actual driving data is collected and analyzed to determine dangerous zones, then driving safety in challenging terrain is improved, but the number of steps and time required for route generation increases
Solution Approach 1:
The system performs preliminary data collection during actual driving operations, storing yaw angular velocity and acceleration data for later analysis. This preliminary action allows the route creation process to quickly reference pre-collected data rather than gathering it during route generation, reducing time loss while maintaining driving safety.
Solution Approach 2:
The system changes parameters by setting threshold values for yaw angular velocity and acceleration to automatically identify dangerous zones. By transforming raw sensor data into meaningful parameters with clear thresholds, the system efficiently determines driving conditions without time-consuming manual analysis, balancing safety with quick route generation.
3Reliability
If the driving route is fixed based on actual driving data, then the vehicle can safely navigate dangerous zones, but the flexibility to adjust routes for different scenarios is reduced
Solution Approach 1:
The system applies local quality by setting driving conditions specifically for dangerous zones identified through actual driving data, rather than applying uniform constraints to the entire route. The instruction device determines zone-specific conditions based on local characteristics (yaw angular velocity, acceleration thresholds), ensuring safety in critical areas while maintaining route flexibility in safe zones.
Solution Approach 2:
The system implements dynamics by making driving conditions adjustable and modifiable in the instruction device. While dangerous zones are identified based on actual driving data, the stored data and determined conditions can be reviewed and adjusted, allowing the system to adapt to different scenarios and scenarios while maintaining safety in identified dangerous areas.
Data Source
AI summary
Provided is an instruction device capable of generating a driving route suitable for characteristics of a driving region while reducing the number of steps required to generate a route. The instruction device is configured to instruct an autonomous driving vehicle of a behavior plan including at least a driving route, the driving route includes an actual driving route created based on actual driving data obtained at the time of actual driving, and the actual driving route is set at a predetermined position on the driving route, based on the actual driving data.