Autonomous Lane Change Control for Emergency Vehicle Clearance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Emergency vehicles face delays due to general traffic on roads, which can result in missed optimal response times for emergencies, as they struggle to navigate through congested areas even with priority measures like lights and sirens.
Innovation Solution
An apparatus and method utilizing a camera module, radar module, and processor to detect emergency vehicles and adjust the traveling lane of other vehicles autonomously based on received route information, position data, and sound analysis, allowing for safe and efficient passage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If emergency vehicles use lights and sirens to alert other drivers, then they can preferentially pass under the Road Traffic Act, but they still spend much time on the road due to many general vehicles
Solution Approach 1:
The system performs preliminary detection of emergency vehicles using sound collectors and position information before they become adjacent to the autonomous vehicle. The processor identifies siren sound frequency patterns and determines emergency vehicle positions in advance, allowing the system to prepare for lane changes before the emergency vehicle arrives, thus reducing the time emergency vehicles spend on the road.
Solution Approach 2:
The sound collector acts as an intermediary to detect emergency vehicles at a distance by capturing siren sounds. This intermediary detection method allows the system to identify emergency vehicles before visual contact is made, enabling earlier lane change decisions and reducing overall travel time for emergency vehicles.
2Reliability
If the vehicle changes traveling lane to avoid emergency vehicle, then emergency vehicle can pass more quickly, but the vehicle must accurately detect and determine the presence of emergency vehicle
Solution Approach 1:
The system merges multiple detection methods by combining sound collector data with position information from communicators and image information from camera modules. The processor integrates these different data sources to confirm the presence and position of emergency vehicles, achieving high detection reliability through multi-source verification without requiring any single complex detection device.
Solution Approach 2:
The system uses a sound collector that serves multiple functions: detecting siren sounds, determining emergency vehicle position, and analyzing frequency patterns. This multi-functional approach allows a single device to perform multiple detection tasks, reducing overall system complexity while maintaining high detection reliability.
3Measurement precision
If the vehicle uses multiple detection methods (sound, position, image) to identify emergency vehicle, then detection accuracy improves, but processing complexity increases
Solution Approach 1:
The processor performs preliminary analysis of sound frequency patterns to identify potential emergency vehicles before processing more complex image and position data. This preliminary filtering reduces the amount of data that requires complex processing, as only sounds matching emergency vehicle frequency patterns trigger further position and image verification.
Solution Approach 2:
The system applies different processing levels to different data sources based on their reliability and processing requirements. Sound frequency analysis receives preliminary processing to identify candidates, while position information and image data receive more intensive processing only for identified candidates, optimizing the balance between precision and processing complexity.
Data Source
AI summary
Disclosed herein is an apparatus for changing a traveling lane based on road situations during autonomous driving.The apparatus for driver assistance provided in a vehicle includes a camera module, a radar module, and a processor configured to determine whether a traveling route of the vehicle needs to be changed based on received traveling route information of an emergency vehicle and traveling route information of the vehicle upon receiving the traveling route information of the emergency vehicle through a communicator of the vehicle during autonomous driving, and control the autonomous driving along a traveling route changed based on at least one of output data of the camera module or output data of the radar module when it is determined that the traveling route of the vehicle needs to be changed.