Vehicle Parking Assistance Top View Camera System Safety
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Solution Overview
Problem
Existing autonomous and semi-autonomous driving assistance systems face high process responsibility challenges, particularly in ensuring safety from hazards to people, vehicles, and the environment during maneuvers like parking, where complete surroundings detection is critical but can be compromised by restrictions such as low illumination, camera misalignment, and obstructed views.
Innovation Solution
The method employs a top view system to generate an overall image of the vehicle's surroundings, processing this data to derive control commands and detect restrictions, putting the assistance system in a safe state by adjusting camera alignment, illuminating relevant areas, and using internal sensors to prevent unsafe maneuvers, ensuring the vehicle's safety by stopping it if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a top view system with multiple cameras is used to generate an overall image of the surroundings, then the detection capability and safety of the assistance system is improved, but the device complexity and cost increase
Solution Approach 1:
The patent combines multiple individual camera images into a single overall top view image through image processing. This merging of visual information from multiple sources enables comprehensive detection of the vehicle surroundings, obstacles, and environmental conditions, thereby improving safety and reliability of autonomous driving maneuvers without requiring a single complex sensor system
Solution Approach 2:
The overall image generated by the top view system serves multiple functions simultaneously: it provides a panoramic view for obstacle detection, enables determination of vehicle position and orientation, supports detection of restrictions (pedestrians, other vehicles, environmental hazards), and facilitates generation of control commands for autonomous maneuvers. This multi-functionality improves system reliability while avoiding the need for separate specialized sensors for each function
2Reliability
If the assistance system continuously monitors the overall image to detect restrictions and ensure safety, then the safety and reliability are improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary analysis of the overall image to detect restrictions and safety conditions before executing autonomous driving maneuvers. By pre-identifying obstacles, pedestrians, and environmental hazards in the top view image, the system can make rapid safety decisions during the maneuver without requiring continuous heavy processing, thereby reducing real-time processing time while maintaining high safety standards
Solution Approach 2:
The assistance system continuously monitors the overall image during autonomous maneuvers and uses this feedback to dynamically adjust control commands. The feedback mechanism enables real-time detection of newly出现的 restrictions or hazards, allowing the system to respond promptly to changing conditions while optimizing processing efficiency through event-driven analysis rather than continuous full-image processing
3Reliability
If the assistance system puts the vehicle in a safe state by stopping when restrictions are detected, then the safety is improved, but the productivity and maneuver completion rate decrease
Solution Approach 1:
The system applies different response strategies based on the specific type and severity of detected restrictions. For critical hazards (pedestrians, obstacles in path), the system stops the maneuver to ensure safety. For less critical conditions (marginal lighting, minor obstructions), the system may adjust maneuver parameters or continue with modified control commands. This localized quality approach ensures safety for critical hazards while maintaining productivity for non-critical conditions
Solution Approach 2:
The assistance system dynamically adjusts the autonomous driving maneuver based on real-time detection of restrictions in the overall image. Rather than rigidly stopping for all detected conditions, the system adaptively modifies control commands, speed, and trajectory to navigate around minor obstacles while maintaining safety for critical hazards. This dynamic response optimizes both safety and maneuver completion efficiency by matching the response intensity to the hazard severity
Data Source
AI summary
A method and a device for an assistance system, e.g. a parking assistance system, perform an autonomous or semi-autonomous driving maneuver of a vehicle. A camera system generates image data from the surroundings of the vehicle. A processor arrangement processes the image data to produce control information that is used by the assistance system to perform the driving maneuver. If the image data show that a restriction or impediment is present, then the assistance system is put in a safe state.