Vehicle Blind Spot Path Planning Around Adjacent Large Trucks
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Solution Overview
Problem
Drivers face challenges in detecting and avoiding blind spots, especially when adjacent vehicles lack blind spot detection systems, leading to potential accidents due to unrecognized host vehicles in blind spots.
Innovation Solution
A system equipped with an image sensor and vehicle controller that determines the blind spot range and dangerous level of adjacent large vehicles, generating a path for the host vehicle to deviate or avoid the blind spot based on traveling situations, using sensors like radar, LiDAR, and cameras to provide real-time information and control the vehicle's trajectory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a driver relies on manual observation through side view mirrors and head turning, then the driver can detect the side area, but the blind spot area cannot be sensed
Solution Approach 1:
The patent introduces an image sensor as an intermediary device to capture images of the blind spot area, which the driver cannot directly observe. The sensor acts as a mediator between the blind spot region and the driver's awareness, converting visual information from the blind spot into detectable signals that can be processed and displayed to the driver or used for automated path planning.
2Reliability
If all vehicles are equipped with BSD system, then blind spot recognition is improved, but not all vehicles have the BSD system
Solution Approach 1:
The patent divides the blind spot avoidance function into two independent segments: (1) image capture and blind spot detection performed by the host vehicle's image sensor, and (2) path generation and avoidance maneuver execution. This segmentation allows the system to work independently of whether adjacent vehicles have BSD systems, as the host vehicle alone performs both detection and avoidance actions.
3Reliability
If the host vehicle tries to avoid the blind spot of adjacent large vehicle, then accident risk is reduced, but the host vehicle needs to generate complex path planning
Solution Approach 1:
The patent performs preliminary actions by first determining the blind spot range of the adjacent large vehicle based on its type and size, and pre-calculating multiple candidate paths (first path, second path, third path) with different risk levels. This preliminary path preparation allows the system to quickly select an appropriate avoidance maneuver without complex real-time calculations when a blind spot situation is detected.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively minimizes the dangerous level of blind spots by generating a path for the host vehicle to avoid adjacent large vehicles, reducing the risk of accidents through real-time data processing and vehicle control, even when the adjacent vehicle does not have a blind spot detection system.
Implementation Method 1
an image sensor configured to provide image information by acquiring a surrounding image of a host vehicle
Implementation Method 2
using sensors like radar, LiDAR, and cameras to provide real-time information
Implementation Method 3
using sensors like radar, LiDAR, and cameras to provide real-time information
Data Source
AI summary
A method and apparatus for avoiding a blind spot of a vehicle, where the apparatus for avoiding the blind spot of the vehicle includes an image sensor configured to provide image information by acquiring a surrounding image of a host vehicle, and a vehicle controller configured to sense a large vehicle traveling adjacent to the host vehicle based on the image information, determine a blind spot range of the large vehicle, determine a dangerous level of the blind spot range, and generate a path for the host vehicle to deviate from the blind spot or to avoids the blind spot, based on a traveling situation of the host vehicle.