Intersection Driving Assist with Blind-Spot Course Shifting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle driving assist systems struggle to navigate intersections safely when an intersecting road is a blind spot due to view-blocking objects, as stereo camera and radar devices may fail to detect vehicles entering from the intersecting road, leading to reduced traveling stability and occupant anxiety.
Innovation Solution
A vehicle driving assist system equipped with a storage, autonomous sensor, and controller that detects and recognizes the traveling environment, determines if an intersecting road is a blind spot, and adjusts the vehicle's course laterally away from the blind spot before passing through the intersection, using a combination of stereo camera and radar data to ensure safe navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle maintains a standard course through the intersection, then the traveling efficiency is improved, but the safety is reduced when an intersecting road is a blind spot
Solution Approach 1:
The system performs preliminary detection of blind spots at intersections before the vehicle reaches them. The controller identifies intersecting roads that are blind spots in advance and pre-calculates a shifted course, allowing the vehicle to safely navigate through blind spot intersections without excessive lateral position changes that would reduce traveling efficiency.
2Measurement precision
If the stereo camera and radar detect vehicles on intersecting roads, then the detection capability is improved, but the detection reliability deteriorates when view-blocking objects are present
Solution Approach 1:
The system introduces map information as an intermediary to identify blind spot locations at intersections. By combining map data about intersecting roads with sensor data, the system can determine whether an intersecting road constitutes a blind spot, compensating for the limited direct detection capability when view-blocking objects are present.
3Reliability
If the vehicle shifts course laterally away from blind spots, then the safety is improved, but the course deviation increases
Solution Approach 1:
The controller dynamically adjusts the lateral position shift amount as a variable parameter based on whether an intersecting road is identified as a blind spot. When a blind spot is detected, the controller applies a specific lateral shift; when no blind spot exists, the shift is minimized or eliminated. This parameter-based approach ensures safety while minimizing unnecessary course deviation.
Data Source
AI summary
A vehicle driving assist system includes a storage, an autonomous sensor, a traveling environment recognizer, and a controller. The storage contains map information on an intersection where at least one intersecting road intersects at grade with a traveling road of an own vehicle. The autonomous sensor detects information on the traveling road positioned in front of the own vehicle. The traveling environment recognizer recognizes the detected information on the traveling road. The controller determines, before reaching the intersection, whether the intersecting road is a blind spot depending on presence or absence of a view-blocking object, on the basis of the recognized information on the traveling road, and changes, if the intersecting road is determined as being a blind spot, a lateral position shift amount of a course of the own vehicle in a direction away from the intersecting road when the own vehicle passes through the intersection.