Autonomous Vehicle Path Prediction Using Travel Influence Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current autonomous travel vehicle control systems lack the ability to accurately predict and set travel paths based on surrounding influences, leading to potential obstacles being undetected until the vehicle attempts to travel, which can result in unsafe navigation.
Innovation Solution
An autonomous travel vehicle control system that includes a display unit, a path setting unit, a travelling influence information acquisition unit, a travel path prediction unit, and a travel path display unit, which acquires and processes surroundings information to predict and display potential travel path deviations due to road surface conditions and obstacles, allowing for safe and accurate path setting before actual travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simulation travel is performed on a personal computer for fine tuning control parameters, then control parameters can be appropriately tuned, but it is not possible to predict the travel of the vehicle in consideration with an influence of the state of the travel path
Solution Approach 1:
The system performs simulation travel in advance before actual vehicle operation to predict the travel path based on acquired travel path state information. This preliminary simulation allows the system to anticipate obstacles and adjust control parameters beforehand, ensuring both accurate parameter tuning and incorporation of travel path state considerations.
2Productivity
If obstacle detection is performed during actual autonomous travel, then the vehicle can navigate autonomously, but obstacles cannot be recognized until the autonomous travel is actually tried
Solution Approach 1:
The system acquires travel path state information and performs simulation travel before actual autonomous operation to predict potential obstacles and travel path deviations. This advance preparation enables the system to identify obstacles beforehand, eliminating the delay in obstacle recognition during actual travel while maintaining autonomous navigation capability.
3Ease of operation
If manual driving instruction is given for travel path, then the vehicle can follow the instructed path, but the effectiveness of obstacle detection cannot be evaluated
Solution Approach 1:
The system performs simulation travel based on manually instructed travel paths and compares the predicted travel path with the instructed path to evaluate obstacle detection effectiveness. This feedback mechanism allows operators to assess how well the obstacle detection system performs while maintaining the ease of manual path instruction.
Data Source
AI summary
There is provided an autonomous travel vehicle control device that sets a travel path of an autonomous travel vehicle performing autonomous travel based on surroundings information. The device includes; a moving path determination unit that sets the travel path, a travelling influence information acquisition unit that acquires travelling influence information influencing a travel state of the autonomous travel vehicle, a travel path prediction unit that predicts the travel path based on the travelling influence information, and a travel path display unit that displays the travel path predicted by the travel path prediction unit.