Vehicle Detection Using Radar Reflections for Hidden Objects
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Solution Overview
Problem
Current vehicle detection systems are limited in their ability to detect objects outside of the vehicle's field of view, relying on static or aggregate dynamic information from high definition maps, which may not provide real-time data on discrete dynamic objects.
Innovation Solution
The system employs 'Vehicle to Everything' communications technology and radar to transmit and receive electromagnetic energy, determining the actual position of objects by analyzing reflections along defined paths and outside paths, enabling detection of objects beyond the vehicle's immediate field of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If high definition maps with aggregate dynamic information are used, then information about traffic patterns is available, but real-time data on discrete dynamic objects outside field of view is not provided
Solution Approach 1:
The system segments the detection task by dividing the environment into multiple zones (visible field of view and hidden zones outside field of view). Different detection methods are applied to different zones: direct sensor detection for visible objects and indirect inference methods for hidden objects, thereby resolving the information loss problem while maintaining reliability.
Solution Approach 2:
The system uses intermediate objects (objects within field of view) as mediators to detect objects outside field of view. By detecting reflections and interactions of electromagnetic energy between intermediate objects and hidden objects, the system recovers real-time information about discrete dynamic objects that would otherwise be undetectable.
2Reliability
If sensors are disposed on the vehicle to detect objects, then real-time detection capability is improved, but objects outside the vehicle's field of view cannot be detected
Solution Approach 1:
The system extends detection beyond the traditional two-dimensional field of view by utilizing the temporal dimension and indirect detection paths. Electromagnetic energy reflections and interactions provide information about objects in spatial zones that are not directly visible, effectively expanding the detection coverage area without adding physical sensors to the vehicle.
Solution Approach 2:
The system replaces direct mechanical/optical line-of-sight detection with electromagnetic field-based indirect detection. By analyzing reflections and interactions of electromagnetic energy, the system can infer the presence and position of objects outside the direct field of view, substituting direct observation with field-based sensing.
3Reliability
If multiple reflections of electromagnetic energy are used to detect objects outside field of view, then detection capability is enhanced, but system complexity increases
Solution Approach 1:
The system makes existing sensors multi-functional by using them for both direct detection of visible objects and indirect detection of hidden objects through electromagnetic energy analysis. The same sensor array serves multiple purposes: detecting objects in field of view and inferring objects outside field of view, thereby enhancing detection capability without proportionally increasing system complexity.
Solution Approach 2:
The system uses the electromagnetic energy reflections and interactions that naturally occur in the environment as self-service detection signals. Instead of requiring additional active sensors or complex detection mechanisms, the system leverages the passive electromagnetic interactions between objects to automatically provide detection information about hidden objects.
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
This approach enhances the vehicle's ability to detect and respond to dynamic objects outside its field of view, improving safety by providing accurate positioning and velocity data for objects that may not be visible, thereby reducing the risk of collisions.
Implementation Method 1
cause an electromagnetic energy to be transmitted in a direction of the first object
Implementation Method 2
receive a reflection of the electromagnetic energy from the direction of the first object
Data Source
AI summary
A message can be received from a first object. The message can include information about a position of the first object. An electromagnetic energy can be caused to be transmitted in a direction of the first object at a time in which the first object is in motion. A reflection of the electromagnetic energy can be received from the direction of the first object. A first possible position of a second object can be determined based on the reflection of the electromagnetic energy having traveled entirely along a path defined by a line formed by the first object and the vehicle. A second possible position of the second object can be determined based on the reflection of the electromagnetic energy having traveled along a path outside of the line. An actual position of the second object being the second possible position of the second object can be determined.


