Vehicle Collision Avoidance Using Merged ADS-B and Radar Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing number of unmanned aerial vehicles (UAVs) poses a risk of collisions due to their entry into prohibited areas and obstacles, necessitating a system for collision avoidance between UAVs and other aerial vehicles.
Innovation Solution
A collision avoidance apparatus and method utilizing the Automatic Dependent Surveillance Broadcast (ADS-B) system and radar components to collect and process data on vehicle positions and radar reflections, determining potential collisions and generating control signals to avoid them.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radar ranging technique is used for collision avoidance, then detection capability in all weather conditions is improved, but device complexity increases
Solution Approach 1:
The patent combines ADS-B system and radar ranging device into a unified collision avoidance system. The ADS-B module receives broadcast information from other vehicles, while the radar module actively detects objects, and both feed data to the same determination module, creating a merged detection system that leverages strengths of both approaches
Solution Approach 2:
The determination module serves multiple functions: it processes ADS-B data from other vehicles, analyzes radar detection results, calculates collision probabilities, and generates avoidance control signals. This multi-functional design reduces overall system complexity by consolidating processing logic
2Productivity
If ADS-B system is used for vehicle detection, then information transmission efficiency is improved, but detection precision for close-range objects deteriorates
Solution Approach 1:
The detection system is segmented into two functional modules: ADS-B for long-range detection and radar for short-range detection. Each module operates in its optimal range, with the determination module integrating results from both segments to achieve comprehensive detection coverage
Solution Approach 2:
The determination module acts as an intermediary that receives and integrates data from both ADS-B and radar systems. It calculates collision probability by combining information from both sources, mediating between the two detection methods to produce a unified collision assessment
3Measurement precision
If collision avoidance system integrates multiple detection methods, then collision detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary detection using ADS-B for long-range vehicle detection before radar takes over for short-range object detection. This staged approach allows early identification of potential threats, reducing the burden on the radar system and simplifying real-time processing
Solution Approach 2:
The system dynamically adjusts detection strategies based on situational context. The determination module evaluates collision probability in real-time and can prioritize processing based on threat level, dynamically allocating computational resources to maintain accuracy while managing complexity
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
The system effectively reduces the probability of collisions by enabling vehicles to take corresponding actions based on real-time data processing, ensuring safe navigation and operation.
Implementation Method 1
a radar signal transceiving device, electrically connected to the possible collision determination/avoidance module, transmitting a radar wave to the object, and receiving the radar reflection wave
Implementation Method 2
receiving the radar reflection wave
Data Source
AI summary
A collision avoidance apparatus for a vehicle includes a data collection module, collecting first automatic dependent surveillance broadcast (ADS-B) data of the vehicle itself, second ADS-B data of at least other one vehicle and a detection result related to a radar reflection wave reflected from an object within a first range; and a possible collision determination/avoidance module, electrically connected to the data collection module, determining whether the other one vehicle will collide with the vehicle according to the first and second ADS-B data and whether the object will collide with the vehicle according to the detection result, so as to generate a determination result, wherein the signal processing module generate a control signal to control the vehicle perform a corresponding action according to the determination result. Thus, collision avoidance can be achieved.