Vehicular Electronic Device Dynamic Horizon Range
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicular systems face challenges in processing and storing large amounts of high-definition map data required for advanced driver assistance systems and autonomous driving, due to limited resources such as processors and memory in vehicles.
Innovation Solution
A vehicular electronic device that receives high-definition map data and driving condition information from a server, using a processor to generate electronic horizon data and set a geographical range based on the driving conditions, optimizing data processing and storage by adjusting the geographical range of the electronic horizon data according to sensing range, driving speed, and traffic volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-definition map data is provided to the vehicle for ADAS and autonomous driving applications, then processing capability and data storage capability are improved, but the limited resources of the processor and memory in the vehicle are exceeded
Solution Approach 1:
The HD map data is segmented into multiple levels of detail (LOD). The system divides the map data into different resolution tiers, allowing the vehicle to receive and process only the necessary portion (e.g., Level of Detail 0 for current location, Level of Detail 1 for surrounding areas) rather than the complete high-resolution dataset, thus reducing data volume while maintaining processing reliability.
Solution Approach 2:
The system applies local quality by providing high-definition map data only to specific local areas relevant to the vehicle's current position and trajectory, while using lower-definition data for broader regions. This selective quality distribution ensures that computational resources are concentrated on critical local details needed for immediate driving decisions, rather than uniformly processing all map data at high resolution.
2Adaptability or versatility
If the geographical range of electronic horizon data is increased to cover more areas, then more comprehensive driving information is available, but unnecessary data communication and storage consume more resources
Solution Approach 1:
The geographical range of electronic horizon data is made dynamic rather than static. The system continuously adjusts the data coverage area based on real-time vehicle state (speed, acceleration, turning radius) and environmental conditions (curvature, slope, traffic density). This dynamic adaptation allows the system to expand or contract the data reception range as needed, minimizing unnecessary data communication while ensuring sufficient coverage for varying driving scenarios.
Solution Approach 2:
The system changes key parameters such as the geographical range radius, level of detail, and data update frequency based on driving conditions. For example, at high speeds on straight roads, the system increases the geographical range to provide earlier path information, while at low speeds in complex intersections, it reduces the range and increases detail level, optimizing the balance between information comprehensiveness and resource consumption.
Data Source
AI summary
The present disclosure relates to a vehicular electronic device including a power supply configured to supply power, an interface configured to receive HD map data on a specific area from a server through a communication device and receive data on driving condition information of a vehicle, and a processor configured to continuously generate electronic horizon data on a specific area based on the high-definition (HD) map data in the state of receiving the power and to set a geographical range of the electronic horizon data based on data on the driving condition information.