18522469. METHOD AND DEVICE FOR DETERMINING A CLASSIFICATION FOR AN OBJECT BASED ON A RADAR SPECTRUM AND RADAR REFLECTIONS simplified abstract (Robert Bosch GmbH)
METHOD AND DEVICE FOR DETERMINING A CLASSIFICATION FOR AN OBJECT BASED ON A RADAR SPECTRUM AND RADAR REFLECTIONS
Organization Name
Inventor(s)
Gor Hakobyan of Schoenaich (DE)
Axel Javier Acosta Aponte of Köln (DE)
Loveneet Saini of Stuttgart (DE)
METHOD AND DEVICE FOR DETERMINING A CLASSIFICATION FOR AN OBJECT BASED ON A RADAR SPECTRUM AND RADAR REFLECTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18522469 titled 'METHOD AND DEVICE FOR DETERMINING A CLASSIFICATION FOR AN OBJECT BASED ON A RADAR SPECTRUM AND RADAR REFLECTIONS
Simplified Explanation:
This patent application describes a device and method for determining the classification of an object using radar sensor data. The radar spectrum is analyzed to identify radar reflections, which are then used to create a graph representation for classification purposes.
- Nodes in the graph represent sections of the radar spectrum containing radar reflections.
- Edges between nodes are determined based on the pairwise distances between the radar reflections.
- Features are calculated for each edge and node based on the characteristics of the radar reflections they connect.
- A characteristic quantity is provided for each radar reflection based on the sensor data.
Key Features and Innovation:
- Utilizes radar sensor data to determine object classification.
- Creates a graph representation of radar reflections for classification.
- Calculates features for edges and nodes based on radar reflection characteristics.
- Provides a characteristic quantity for each radar reflection.
Potential Applications:
- Object classification in radar systems.
- Autonomous vehicles for object detection.
- Surveillance systems for tracking moving objects.
Problems Solved:
- Efficient and accurate object classification using radar data.
- Improved understanding of radar reflections for classification purposes.
Benefits:
- Enhanced object classification accuracy.
- Increased efficiency in radar-based systems.
- Improved object detection capabilities.
Commercial Applications:
- Radar systems for defense and security applications.
- Autonomous vehicles for improved object detection.
- Surveillance systems for enhanced tracking capabilities.
Prior Art:
Prior art related to this technology may include research on radar signal processing, object classification algorithms, and graph-based data analysis techniques.
Frequently Updated Research:
Researchers may be exploring advancements in radar sensor technology, object classification algorithms, and graph-based data analysis methods relevant to this technology.
Questions about Radar Object Classification:
1. How does this technology improve object classification accuracy compared to traditional methods? 2. What are the potential limitations of using radar sensor data for object classification?
Original Abstract Submitted
A device and method for determining a classification of an object. A radar spectrum which includes radar reflections is determined as a function of sensor data from a radar sensor. Embeddings of sections from the radar spectrum which include at least one radar reflection are determined and each is assigned to a node of a first graph. Edges are determined as a function of pairwise distances between the embeddings which are assigned to the nodes. For each edge, a feature for the edge is determined as a function of the embeddings of two nodes which are connected to one another by the edge. For each node, a feature for the node is determined as a function of the features for the edges which connect the node to another node. A characteristic quantity is provided for each radar reflection as a function of the sensor data.
