Driving Support Prediction Line Erasure for Stopped Vehicles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional driving support systems fail to accurately update prediction lines when a vehicle is stopped, leading to driver misunderstanding and potential confusion during resumption of motion.
Innovation Solution
A driving support device comprising an estimation unit, rendering unit, and erasing unit that estimates the vehicle's state based on camera images, renders prediction lines during movement, and erases them when the vehicle is stopped to prevent driver confusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If prediction lines are continuously displayed based on historical camera images, then the driver can see the predicted direction of travel, but the prediction line becomes outdated and causes driver misunderstanding when the vehicle is stopped
Solution Approach 1:
The system continuously monitors the vehicle's running state (moving or stopped) and uses this feedback to dynamically control the display of prediction lines. When the vehicle stops, the system detects this state change and erases the prediction line, ensuring the displayed information always reflects the current vehicle state.
Solution Approach 2:
The prediction line display is made dynamic rather than static. The system automatically adjusts the prediction line visibility based on real-time vehicle state: displaying when the vehicle is moving, and erasing when the vehicle is stopped. This dynamic adaptation prevents outdated information from being shown.
2Measurement precision
If the prediction line is updated continuously, then the displayed direction reflects current vehicle state, but this requires continuous image processing and state detection
Solution Approach 1:
The system uses the existing camera images that are already being captured for other driving support functions to also determine vehicle state. By analyzing the temporal changes in already-acquired images, the system self-determines whether the vehicle is moving or stopped without requiring additional sensors or complex detection hardware.
Solution Approach 2:
The camera image processing serves multiple functions: it provides both the visual information for prediction line generation and the state information for determining whether to erase the prediction line. This multi-functionality reduces the need for separate detection systems and simplifies the overall device complexity.
Data Source
AI summary
A driving support device according to an embodiment includes an estimation unit, a rendering unit, and an erasing unit. The estimation unit estimates a running state of a movable body based on an image taken on the movable body. The rendering unit produces a prediction line that indicates a predicted direction of travel of the movable body based on the running state estimated by the estimation unit, and superimposes and renders the prediction line on the taken image. The erasing unit erases the prediction line rendered by the rendering unit in a case where the estimation unit estimates that the movable body is stopped.


