Vehicle Obstacle Grid Mapping With Offboard Sensor Alignment
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Solution Overview
Problem
Current vehicle assistance and control systems face challenges in accurately navigating and parking vehicles, especially with obstacles like blind spots from trailers, due to limitations in obstacle recognition and alignment between onboard and offboard sensors.
Innovation Solution
A method utilizing both onboard and offboard obstacle recognition sensors to generate consolidated grid maps, with alignment optimization and wireless communication, allowing for accurate obstacle detection and vehicle guidance, including the use of markers and LIDAR for precise positioning and autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only onboard obstacle recognition sensors are used, then the system structure is simple, but blind spots (especially from trailers) cannot be detected
Solution Approach 1:
The patent introduces offboard obstacle recognition sensors as intermediary elements that detect obstacles in areas blind to onboard sensors (particularly behind trailers). These offboard sensors act as mediators to extend the detection coverage without requiring complex integration of multiple sensor types on the vehicle itself.
Solution Approach 2:
The patent transitions from a single-dimension onboard sensor system to a multi-dimensional system by adding offboard sensors positioned in different spatial locations. This dimensional expansion allows detection of obstacles that would be invisible to forward-facing onboard sensors, particularly in blind spot regions.
2Reliability
If onboard and offboard sensors are combined, then comprehensive obstacle detection is achieved, but alignment between sensor coordinate systems becomes complex
Solution Approach 1:
The patent replaces complex mechanical alignment procedures with an optical alignment method using markers. Instead of physically adjusting sensor positions and orientations, the system uses optical detection of markers to automatically determine and align coordinate systems, simplifying the alignment process while maintaining accuracy.
Solution Approach 2:
Markers serve as intermediary reference objects between the onboard and offboard sensors. These markers provide a common reference framework that facilitates coordinate system alignment without requiring direct complex transformations between sensor systems, making the alignment process more manageable and accurate.
3Measurement precision
If markers are used for alignment, then alignment precision is improved, but additional components and calibration steps are required
Solution Approach 1:
The patent uses optical markers as simplified copies or representations of the physical sensor positions and orientations. Instead of directly measuring complex sensor geometries, the system captures images of markers that encode positional and orientational information, making the alignment process more precise and easier to execute.
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
Enhances vehicle navigation and parking capabilities by providing comprehensive obstacle detection and alignment, reducing blind spots and improving safety and efficiency in autonomous driving scenarios.
Implementation Method 1
A vehicle assistance or control system (50) includes at least one offboard obstacle recognition sensor (RMTS) for recognizing obstacles for the vehicle (10). The vehicle (10) includes an onboard obstacle recognition sensor (EGOS)... allowing for accurate obstacle detection and vehicle guidance, including the use of markers and LIDAR for precise positioning
Data Source
AI summary
The invention relates to a method for operating a vehicle assistance or control system with a vehicle and with an offboard obstacle recognition sensor for recognizing obstacles for the vehicle, wherein the vehicle includes an onboard obstacle recognition sensor for recognizing obstacles to the vehicle, wherein a first grid map is generated relative to the offboard obstacle recognition sensor, a second grid map relative to the onboard obstacle recognition sensor, or respectively relative to the vehicle, and wherein a consolidated grid map is generated depending on the first grid map and the second grid map.