Vehicle Door-State Detection for Responsive Driving Control
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Solution Overview
Problem
Existing vehicle control systems lack the ability to effectively respond to various environmental conditions and objects, such as cranes, lifts, outriggers, pumps, pipes, and other vehicles, leading to inefficiencies and potential safety hazards.
Innovation Solution
Implementing image sensor-based systems that analyze captured images to detect and determine the state of these objects, allowing vehicles to initiate or withhold actions accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image sensor-based systems are implemented to detect and analyze environmental objects, then vehicle safety and responsiveness are improved, but device complexity increases
Solution Approach 1:
The system segments the environment into distinct zones (first region and second region) with different sensitivity levels. The processor selectively analyzes images based on the zone where objects are detected, performing comprehensive analysis in the first region and limited analysis in the second region, thereby reducing overall computational complexity while maintaining safety.
Solution Approach 2:
The system applies partial analysis based on spatial context: full analysis is performed for objects in the first region (closer to vehicle), while limited or no analysis is performed for objects in the second region (farther away). This partial action approach reduces processing load while maintaining adequate safety for critical near-field objects.
2Measurement precision
If comprehensive image analysis is performed on all detected objects, then detection precision is improved, but processing time increases
Solution Approach 1:
The system applies different analysis qualities to different spatial regions: high-quality comprehensive analysis is applied to objects in the first region (near field), while low-quality or no analysis is applied to objects in the second region (far field). This local differentiation optimizes processing time while maintaining precision where it matters most for vehicle safety.
Solution Approach 2:
The system performs partial analysis by selectively applying comprehensive image analysis only to objects in critical zones (first region) and applying limited analysis or skipping analysis for objects in less critical zones (second region). This reduces total processing time while maintaining adequate detection precision for safety-critical objects.
Data Source
AI summary
Systems, methods and non-transitory computer readable media for controlling vehicles in response to doors of other vehicles are provided. In some examples, images captured using image sensors from an environment of a first vehicle may be obtained. The images may be analyzed to detect a second vehicle. The images may be analyzed to determine a state of a door of the second vehicle. The first vehicle may be caused to initiate an action responding to the second vehicle based on the determined state of the door of the second vehicle. For example, in response to a first determined state of the door of the second vehicle, the first vehicle may be caused to initiate the action responding to the second vehicle, and in response to a second determined state of the door of the second vehicle, causing the first vehicle to initiate the action may be avoided.