Vehicle Object Identification with Lane-Based Search Ranges
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Solution Overview
Problem
Infotainment or navigation systems in vehicles often fail to identify objects or points of interest outside a predefined search area due to insufficient range adjustment based on the number of lanes between the vehicle and the road, leading to incomplete or incorrect responses to occupant inquiries.
Innovation Solution
A method and system that dynamically adjust the search range by setting multiple search areas based on the number of lanes between the vehicle and the side of the road in the direction of occupant focus, using sensors and cameras to detect pointing motions or gaze directions, and geofencing on a geographical map to identify candidate objects of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a fixed search area is used for object identification, then the system complexity is reduced, but the search range is insufficient to cover all possible objects of interest
Solution Approach 1:
The search area is dynamically adjusted based on the number of lanes detected between the vehicle and the side of the road. The system transitions from a fixed search area to a variable search area that adapts to the road configuration, thereby expanding the search range while maintaining manageable system complexity through automated adjustment.
Solution Approach 2:
The system changes the parameter of search area size and position based on the detected number of lanes. By modifying these parameters dynamically according to the road conditions (number of lanes), the system achieves a larger effective search range without requiring a completely complex redesign of the identification system.
2Reliability
If the search area is expanded to cover more objects, then the completeness of object identification improves, but the processing time increases
Solution Approach 1:
Instead of uniformly expanding the search area in all directions, the system applies local quality by adjusting the search area specifically based on the number of lanes detected on each side of the road. This targeted approach ensures comprehensive coverage of relevant objects while minimizing unnecessary processing in areas where objects are unlikely to exist.
Solution Approach 2:
The system performs preliminary detection of the number of lanes and uses this information to pre-calculate and set the appropriate search area before processing object identification queries. This preliminary action allows the system to optimize the search range in advance, reducing processing time during actual object identification.
3Measurement precision
If the search area is adjusted based on lane detection, then the search range accuracy improves, but the detection complexity increases
Solution Approach 1:
The number of lanes detected acts as an intermediary parameter that mediates between the vehicle's position and the appropriate search area. By using lane detection as an intermediate step, the system achieves accurate search range adjustment without directly complex calculations between all other parameters, simplifying the overall detection complexity.
Data Source
AI summary
A method includes processing an inquiry to identify an object outside a vehicle, wherein the inquiry is made by an occupant of the vehicle. The method also includes determining a direction of occupant focus at a time of receiving the inquiry. The method further includes detecting a quantity of lanes of a road upon which the vehicle is travelling. The method additionally includes setting one or more search areas extending from the vehicle in response to the inquiry and based on a determined quantity of lanes between the vehicle and a side of the road, wherein the side of the road is ahead in the direction of occupant focus. The method also includes causing one or more geographical fences corresponding to the one or more search areas to be set with respect to the vehicle on a geographical map in response to the inquiry.