Forward Path Object Validation for Adaptive ADAS Sensing
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Solution Overview
Problem
Current advanced driver assistance systems (ADAS) face challenges in efficiently transmitting and utilizing high-definition map data to optimize vehicle navigation and safety features, particularly in determining the validity of external objects and adjusting sensor operations accordingly.
Innovation Solution
A path providing device that receives high-definition map data, generates forward path information, and determines the validity of external objects based on their potential impact on driving operations, adjusting sensor settings and operations to optimize resource usage and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors continuously monitor all detected objects, then safety coverage is improved, but resource consumption and processing load increase
Solution Approach 1:
The system dynamically changes the monitoring parameters of sensors based on object validity. Valid objects (those on forward paths) trigger continuous monitoring with high priority, while invalid objects result in reduced monitoring or selective sensor deactivation. This parameter adjustment resolves the contradiction by adapting resource allocation to actual safety needs.
Solution Approach 2:
Different monitoring intensities are applied to different spatial regions based on path information. Areas corresponding to valid forward paths receive enhanced sensor attention and processing resources, while other areas use standard monitoring. This local differentiation maintains safety coverage for critical regions while reducing overall resource consumption.
2Reliability
If high-definition map data is processed to determine object validity, then navigation safety is improved, but computational complexity increases
Solution Approach 1:
Forward path information is pre-calculated from high-definition map data and destination information before object detection occurs. This preliminary action creates a ready reference framework that simplifies subsequent object validity determination, reducing the computational complexity of real-time safety assessments while maintaining navigation safety.
Solution Approach 2:
The monitoring space is segmented into regions based on forward path information. Objects are classified as valid or invalid based on their location relative to these segmented path regions. This segmentation approach simplifies the complexity of evaluating all objects uniformly by focusing computational resources only on relevant spatial zones.
3Productivity
If sensors adjust monitoring range based on path information, then resource efficiency is improved, but detection coverage may be reduced
Solution Approach 1:
Sensor monitoring ranges and priorities are dynamically adjusted based on the validity determination of detected objects. When objects are identified as valid (located on forward paths), sensors expand or maintain their monitoring coverage for these specific targets. This dynamic adjustment ensures detection coverage is optimized for relevant objects while improving resource efficiency by not maintaining constant high-level monitoring for all objects.
Data Source
AI summary
A method of controlling a path providing device for a vehicle, where the method includes: receiving high-definition map data from a server; generating forward path information for the vehicle based on the high-definition map data; receiving, from sensors in the vehicle, sensing information related to an object outside the vehicle; and determining a validity of the object based on the forward path information, wherein the validity of the object relates to whether the object is likely to affect driving operations of the vehicle. Generating the forward path information includes: based on a destination having been set for the vehicle, generating the forward path information to include a path to the destination; and based on the destination not having been set for the vehicle, generating the forward path information to include a path on which the vehicle is most likely to travel.