Parking Exit Trajectory Mapping for Lateral Parking Spaces
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing parking assist systems for perpendicular parking spaces often fail to choose the optimal exit trajectory due to reliance on directly measurable distances, necessitating multiple maneuvers to merge into traffic, especially in situations where environmental changes occur.
Innovation Solution
A method and device that utilize environmental sensors to record and store distance values during parking, creating a surrounding area map, which is validated before the exit maneuver by comparing current and stored data, ensuring an optimal trajectory is provided if conditions remain unchanged, or fallback to conventional methods if changes are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the assist system only considers distances directly measurable by sensors, then the system complexity is reduced, but the trajectory optimization capability deteriorates
Solution Approach 1:
The system performs preliminary actions by storing distance measurements and environmental data during the parking maneuver before the vehicle is parked. This pre-collected data is saved in memory and later used to generate the exit trajectory without requiring real-time sensor measurements during the actual exit maneuver, thus avoiding the need for complex real-time sensor arrangements while achieving optimal trajectory planning.
Solution Approach 2:
The system creates a copy of the environmental data and distance measurements taken during parking. Instead of requiring direct real-time measurements during exit, the system uses stored copies of the environmental map and distance values, which are then processed to generate the optimal exit trajectory, reducing system complexity while maintaining trajectory optimization capability.
2Reliability
If multiple maneuvers are used to merge into traffic, then the vehicle can safely exit, but the time required for the parking maneuver increases
Solution Approach 1:
The system performs preliminary analysis of the exit path using stored environmental data and distance measurements before the vehicle actually exits. By pre-calculating the optimal trajectory based on saved data from the parking phase, the system can execute a single efficient maneuver rather than requiring multiple trial maneuvers, thus reducing time loss while ensuring safe exit through pre-validated trajectory planning.
Solution Approach 2:
The system uses feedback from the stored environmental map and distance measurements to continuously refine and optimize the exit trajectory. By comparing the planned path with the saved environmental data, the system can adjust the trajectory to ensure safe clearance from obstacles while minimizing the number of maneuvers required, thereby reducing overall maneuver duration while maintaining safety.
3Ease of operation
If the environmental map is used without validation, then the exit process is simplified, but the reliability of the trajectory deteriorates when environmental changes occur
Solution Approach 1:
The system implements feedback by validating the stored environmental map against current conditions before using it for trajectory generation. Sensors measure current distances to surrounding objects and compare these with the stored environmental map data. This feedback mechanism ensures that the map is still valid and reflects the current environment, maintaining trajectory reliability while keeping the exit process simple through automated validation.
Solution Approach 2:
The system dynamically adapts by switching between using the stored environmental map and performing new measurements based on current conditions. When validation succeeds, the system uses the simplified map-based approach; when validation fails indicating environmental changes, it dynamically switches to conventional measurement methods, thus maintaining both simplicity and reliability adaptively.
4Adaptability or versatility
If conventional methods are used for exit maneuver, then adaptability to environmental changes is improved, but the maneuver efficiency deteriorates
Solution Approach 1:
The system dynamically switches between two operational modes: using the pre-stored environmental map for efficient trajectory generation when conditions match, and switching to conventional real-time measurement methods when environmental changes are detected. This dynamic adaptation allows the system to maintain high maneuver efficiency through map usage while ensuring adaptability to environmental changes when necessary.
Solution Approach 2:
The system changes the operational parameter from map-based trajectory planning to conventional measurement-based planning based on validation results. When the environmental map is validated as current, the system uses map parameters for efficient trajectory calculation; when validation fails, it switches to real-time measurement parameters, thus balancing maneuver efficiency with environmental adaptability through parameter changes.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The invention relates to a method and to a device (10) for providing assistance to a motor vehicle (1) during a process of exiting a lateral parking space (QP), comprising at least one surroundings sensor system (14) and at least one control unit (11) with an assigned memory (12), wherein the device (10) is designed to acquire successive values of distances from adjacent motor vehicles (2, 3) during a parking process and to store them in a map of the surroundings (13), wherein the device (10) is also designed in such a way that, before the start of the process of exiting a parking space, current values (d5 - d8) of distances from the adjacent motor vehicles (2, 3) are acquired and compared with the distance values (d1 - d4) stored in the map of the surroundings (13), wherein, when they correspond, a parking-space-exiting trajectory is made available by means of the map of the surroundings (13).