Automotive Radar Classification of Preceding Vehicles and Clutter
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing autonomous driving technologies based on radar sensors face challenges in accurately distinguishing between preceding vehicles and clutter, particularly in environments with steel structures, leading to unsafe vehicle control.
Innovation Solution
A radar control device and method that classifies clutter using track data and reception signals, allowing for differentiation between preceding vehicles and clutter by analyzing the received power and frequency spectrum information, enabling safe navigation in complex environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If radar sensor is used for autonomous driving control, then vehicle speed control and steering control can be automated, but the system cannot reliably distinguish between preceding vehicles and clutter in environments with steel structures
Solution Approach 1:
The patent changes the parameters used for object classification from simple radar detection to a multi-parameter analysis including track data consistency, received power levels, and frequency spectrum characteristics. By analyzing multiple parameters simultaneously, the system can distinguish between vehicles and clutter even in challenging environments with steel structures
Solution Approach 2:
The patent introduces track data as an intermediary element that bridges raw radar signals and final object classification. The track data serves as a mediator that accumulates historical detection information and enables more reliable distinction between preceding vehicles and clutter by providing temporal consistency checks
2Measurement precision
If the system detects multiple objects at low speed, then it can identify potential preceding vehicles, but it cannot differentiate between actual vehicles and clutter signals
Solution Approach 1:
The patent segments the signal processing into distinct functional modules: track data generation, received power analysis, and frequency spectrum examination. Each module handles a specific aspect of the classification problem, making the overall complex processing manageable and systematic while improving detection precision
Solution Approach 2:
The patent performs preliminary track data generation and analysis before final object classification. By pre-processing the radar signals to create track data and analyzing received power and frequency characteristics in advance, the system reduces the complexity of the final classification decision while maintaining high measurement precision
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
Enables accurate detection and classification of preceding vehicles and clutter, even at low speeds, thereby improving the safety and reliability of autonomous driving systems by distinguishing between road structures and vehicles.
Implementation Method 1
a transmitter for transmitting a radar signal toward an object
Implementation Method 2
a receiver for receiving a reception signal reflected from the object
Data Source
AI summary
The embodiments of the present disclosure relate to a radar control device and method. Specifically, a radar control device according to the present disclosure may include an antenna unit including one or more transmission antennas and one or more receiving antennas, a transmitter for transmitting a radar signal toward an object using the transmission antenna, a receiver for receiving a reception signal reflected from the object using the receiving antenna, and an object detector configured to determine a track for an detected object based on the reception signal, detect an object around a host vehicle based on the determined track, and, if a traveling speed of the host vehicle is less than or equal to a predetermined speed and the detected object is plural, classify a preceding vehicle and a clutter based on the reception signal.


