Vehicle Radar Shadow Area Prediction Controller
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Solution Overview
Problem
Conventional radar systems for autonomous driving rely solely on information from individual detection areas, leading to potential errors and varying performance due to limited information, especially when objects move from one detection area to a shadow area between multiple radar systems.
Innovation Solution
A radar control device and method that generates prediction information for objects moving from one detection area to a shadow area by using the last detected object information, allowing seamless and continuous object information generation across multiple radar detection areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple radar systems are used to enhance detection performance, then object detection accuracy is improved, but shadow areas still exist between detection areas causing information loss
Solution Approach 1:
The system performs preliminary actions by generating prediction information for objects in shadow areas before they are actually detected by other radars. The controller predicts object positions, speeds, and trajectories in advance using objects last detected in detection areas, ensuring continuous monitoring without information loss when objects transition into shadow zones between radar detection areas.
Solution Approach 2:
Prediction information acts as an intermediary element that bridges the gap between detection areas of multiple radars. The controller generates this intermediate prediction data for shadow areas based on last detected object information, allowing seamless transition and continuous tracking of objects as they move between radar detection zones without direct detection coverage.
2Device complexity
If conventional radar systems use only individual detection area information, then system complexity is reduced, but monitoring performance varies depending on beam angles and detection areas
Solution Approach 1:
The system merges detection information from multiple radar systems with prediction information for shadow areas into a unified object information set. The controller integrates object information from different detection areas and combines it with predicted information from shadow areas, creating comprehensive and consistent object tracking data that improves monitoring reliability across all beam angles and detection zones.
3Duration of action of stationary object
If objects move from detection area to shadow area, then continuous monitoring is disrupted, but generating prediction information requires additional processing
Solution Approach 1:
The system implements self-service by automatically generating prediction information for shadow areas using object information already detected in detection areas. The controller utilizes existing object data (position, speed, trajectory) to autonomously create prediction information without requiring external intervention or complex additional processing systems, maintaining continuous monitoring while keeping processing requirements manageable.
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
Enhances object detection accuracy and continuity by predicting object movement through shadow areas, improving vehicle control and reducing errors in monitoring performance across multiple radar systems.
Implementation Method 1
radar mounted to a vehicle detect objects around the vehicle
Implementation Method 2
generating object information for an object based on a radar signal reflected by the object
Data Source
AI summary
According to the disclosure, a radar control device comprises a plurality of radars mounted to a vehicle, each of the plurality of radars having a different detection area outside the vehicle, and a controller generating object information for an object based on a radar signal reflected by the object within the detection area. When the object moves from the detection area of at least one of the plurality of radars to a shadow area between different detection areas, the controller generates prediction information for the object in the shadow area based on object information last detected in the detection area.