Object Tracking After Roadway Departure Using Differential Distances
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Solution Overview
Problem
Existing vehicle tracking systems fail to reliably track objects, especially bicycles, after they leave the roadway, as they often perform U-turns to avoid traffic lights, leading to potential collisions and inefficiencies in traffic management.
Innovation Solution
A system equipped with an object detector and controller circuit that tracks vehicles and bicycles at different distances after they leave the roadway, with bicycles tracked further due to their higher likelihood of performing U-turns, allowing for anticipatory vehicle operation and collision avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system tracks objects at a fixed distance after they leave the roadway, then the tracking system is simple to operate, but it fails to reliably track bicycles that perform U-turns
Solution Approach 1:
The system applies different tracking distances to different object types based on their specific behavior patterns. Bicycles are tracked at a greater distance (second-distance) compared to other objects (first-distance) because bicycles have a higher likelihood of performing U-turns. This local differentiation of tracking parameters resolves the contradiction by making the system reliable for all objects without requiring complex manual configuration.
Solution Approach 2:
The controller is pre-configured with object-type-specific tracking distances before tracking begins. When an object is detected and classified, the appropriate tracking distance is automatically applied based on the object type. This preliminary setup ensures reliable tracking of U-turning bicycles without requiring real-time complex decision-making or manual intervention.
2Reliability
If the system tracks bicycles further after they leave the roadway, then collision avoidance is improved, but the tracking system becomes more complex
Solution Approach 1:
The system implements differential tracking where bicycles receive extended tracking distance (second-distance) while other objects use standard tracking distance (first-distance). This localized enhancement for high-risk objects improves collision avoidance without requiring the entire system to become complex. The controller automatically applies the appropriate tracking distance based on object classification.
Solution Approach 2:
The tracking distance parameter is dynamically changed based on object type. Bicycles trigger a parameter change to the greater second-distance, while other objects use the standard first-distance. This parameter adaptation allows the system to maintain simplicity in operation while achieving improved collision avoidance through automatic parameter adjustment based on detected object characteristics.
3Reliability
If the system uses different tracking distances for different object types, then tracking reliability for U-turning objects is improved, but the ease of operation decreases
Solution Approach 1:
The system performs self-service by automatically classifying objects and applying the appropriate tracking distance without requiring manual configuration or intervention. The controller autonomously determines whether to apply first-distance or second-distance based on object type detection, eliminating the need for operators to manage complex tracking parameters manually while maintaining high reliability for U-turning objects.
Solution Approach 2:
All tracking distance configurations are pre-established in the controller before operation begins. The system has predetermined first-distance for standard objects and second-distance for bicycles. During operation, the controller simply needs to classify the object type and automatically applies the pre-configured appropriate distance, making the system easy to operate despite having multiple tracking parameters.
Data Source
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AI summary
A system (10) for operating a vehicle includes an object-detector (20) and a controller-circuit (30). The object-detector (20) is used to track (46) an object (22) traveling on a roadway (24) traveled by a host-vehicle (12). The controller-circuit (30) is in communication with the object-detector (20). The controller-circuit (30) is configured to track (46) a position (36) of the object (22), and determine a classification (38) of the object (22) in accordance with a signal (40) received from the object-detector (20). The classification (38) includes a car (42) and a bicycle (44). The controller-circuit (30) is configured to track (46) the car (42) a first-distance (60) after the car (42) turns off the roadway (24), track (46) the bicycle (44) a second-distance (62) after the bicycle (44) turns off the roadway (24), where the second-distance (62) is greater than the first-distance (60), and operate the host-vehicle (12) in accordance with the position (36) of the object (22).