Vehicle Radar Control Apparatus for Sidewalk Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicle radar sensors perform unnecessary computations when detecting structures like guard rails or sidewalks, leading to increased computational load and potential accidents due to missed pedestrian detection on city streets.
Innovation Solution
A vehicle radar control apparatus and method that adjusts the sensing threshold value of radar sensors and removes unnecessary radar signal processing for non-lane sections, enhancing the detection of moving objects on sidewalks by analyzing forward images and map information to determine lane sections and adjust sensing parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the radar sensor performs computation on all structures including guard rails and sidewalks, then the detection coverage is complete, but the computational load increases considerably
Solution Approach 1:
The patent extracts and removes unnecessary radar signals corresponding to non-lane sections (guard rails, sidewalks) from the computation process. By identifying these non-lane areas through map data and navigation information, the system selectively processes only lane-related radar signals, thereby reducing computational load while maintaining detection coverage for relevant objects.
Solution Approach 2:
The patent applies different processing qualities to different spatial regions. Lane sections receive full radar signal processing for object detection, while non-lane sections (guard rails, sidewalks) are processed with reduced or no computation. This local differentiation optimizes computational resources based on the semantic importance of each spatial region.
2Reliability
If the radar sensor uses a high sensing threshold value, then the false detection is reduced, but the probability of detecting moving objects on sidewalks decreases
Solution Approach 1:
The patent applies different sensing threshold values to different spatial regions. For non-lane sections (sidewalks), the system uses a lower sensing threshold to improve the probability of detecting moving objects like pedestrians. For lane sections, a higher threshold maintains false detection reduction. This spatially-adaptive thresholding resolves the contradiction between false detection rate and object detection probability.
3Measurement precision
If the radar sensor processes all radar signals for comprehensive analysis, then the detection accuracy is improved, but the processing time increases
Solution Approach 1:
The patent extracts and removes radar signals corresponding to non-lane sections from the processing pipeline. By using map data and navigation information to identify non-lane areas, the system selectively processes only lane-related signals, significantly reducing processing time while maintaining detection accuracy for relevant objects in lane sections.
Solution Approach 2:
The system performs preliminary identification of lane and non-lane sections using map data and navigation information before processing radar signals. This preliminary classification allows the system to pre-determine which radar signals require full processing and which can be discarded, optimizing the balance between processing time and detection accuracy.
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
Reduces computational load by identifying areas where computation is not necessary and improves the probability of detecting moving objects on sidewalks, thereby preventing accidents.
Implementation Method 1
one or more radar sensors each configured to irradiate a radar signal from the traveling vehicle, and receive a radar signal reflected and returned from the neighboring vehicle
Data Source
AI summary
A vehicle radar control apparatus may include: a camera configured to capture a forward image in a traveling direction of a traveling vehicle; one or more radar sensors each configured to irradiate a radar signal from the traveling vehicle, and receive a radar signal reflected and returned from the neighboring vehicle; and a control unit configured to generate traveling information including one or more of distance, direction and speed of the traveling vehicle with respect to the neighboring vehicle by analyzing the forward image captured by the camera and the radar signal received by the radar sensor.


