Automatic Parking Mode Activation via Navigation Zone Detection
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Solution Overview
Problem
Existing parking steering assist systems require manual activation by drivers, leading to inefficiencies in finding parking spaces, resulting in increased time and energy consumption, as the system may miss desired spaces if not actively searched for.
Innovation Solution
An apparatus and method that automatically recognize parking situations using navigation and vehicle information, converting the vehicle mode to parking mode and utilizing operation sensors to search for and control parking spaces, minimizing search time and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the driver manually manipulates the system button to activate the parking search system, then the system can perform parking space search, but the system may pass desired parking spaces without detecting them and requires continuous driver intervention
Solution Approach 1:
The system automatically detects parking situations and activates parking mode without requiring driver intervention. The parking situation recognizer monitors vehicle state and navigation information to determine when to enter parking mode, making the system self-activating based on detected conditions.
Solution Approach 2:
The system performs preliminary detection of parking situations before the driver would need to activate the system. By continuously monitoring vehicle state and navigation data, the system prepares and activates parking mode in advance, ensuring parking spaces are not missed.
2Reliability
If the system continuously searches for parking spaces without navigation information, then it can find parking spaces, but it consumes excessive time and power
Solution Approach 1:
The system uses navigation information to pre-identify parking zones before the vehicle arrives. By knowing the target parking area in advance, the system can limit sensor operations to relevant zones, avoiding continuous full-area scanning and reducing power consumption while maintaining detection accuracy.
Solution Approach 2:
The system concentrates sensor operations on specific parking zones identified from navigation data rather than uniformly scanning all areas. This localized approach directs computational and sensing resources only to relevant regions, optimizing both energy efficiency and detection reliability.
3Productivity
If the system searches for parking spaces without using navigation zone information, then it can detect parking spaces, but it increases search time and misses desired spaces
Solution Approach 1:
The system pre-processes navigation information to identify parking zones before the vehicle reaches the destination. This preliminary identification allows the system to focus the search on specific areas, significantly reducing search time and preventing the vehicle from passing over desired parking spaces without detection.
Solution Approach 2:
The system uses navigation information as feedback to guide the parking space search process. By continuously comparing vehicle position with predetermined parking zones, the system adjusts sensor operations to focus on relevant areas, improving search efficiency and reducing time loss.
Data Source
AI summary
An apparatus for controlling parking includes a parking situation recognizer recognizing a parking situation of a vehicle based on information received from navigation and converting an operation mode of the vehicle into a parking mode; a parking space searcher setting an operation sensor based on information on a parking zone received from the navigation at the time of performing the conversion into the parking mode, and searching for a parking space using the operation sensor; and a parking controller configured to control the parking of the vehicle based on the searched parking space.