Vehicle Path Planning With Visibility-Based Error Detection
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Solution Overview
Problem
Current advanced driver assistance systems (ADAS) lack the capability to effectively integrate autonomous driving visibility information with vehicle status information and determine errors in real-time, particularly for accident scenarios, which hinders optimal vehicle control and safety.
Innovation Solution
A path providing device and method that includes a communication unit for receiving map data, an interface unit for sensor information, and a processor to identify lanes, generate autonomous driving visibility information, and an event data recorder to store and analyze vehicle status information, enabling the determination of errors and optimal path updates based on dynamic objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If autonomous driving visibility information is integrated with vehicle status information, then measurement precision and reliability are improved, but device complexity increases
Solution Approach 1:
The patent combines autonomous driving visibility information from sensors (cameras, radar, LIDAR) with vehicle status information from the EDR into a unified error determination system. The processor integrates these diverse data sources to comprehensively analyze accident scenarios, improving measurement precision by considering multiple information dimensions simultaneously.
Solution Approach 2:
The path providing device is designed to perform multiple functions: it processes map information, sensor data, vehicle status information, and performs error determination. This multi-functional design allows a single system to handle various information types and tasks, managing complexity through functional integration rather than separate dedicated systems.
2Reliability
If real-time error determination is implemented using vehicle status information and autonomous driving visibility information, then reliability is improved, but loss of time in data processing increases
Solution Approach 1:
The EDR continuously records and stores vehicle status information in advance, so that when an accident occurs, the data is already prepared and available for immediate analysis. This preliminary data collection eliminates the need for real-time data gathering during critical moments, reducing processing time while maintaining reliability.
Solution Approach 2:
The system provides feedback by comparing autonomous driving visibility information with vehicle status information to determine errors in accident scenarios. This feedback mechanism allows the system to continuously improve its accuracy by learning from past accidents and refining its error determination algorithms.
3Adaptability or versatility
If optimal path updates are performed based on dynamic information from movable objects, then adaptability is improved, but productivity decreases due to continuous path recalculation
Solution Approach 1:
The path providing device dynamically updates the optimal path based on real-time information about movable objects detected by sensors. The system adjusts the vehicle's trajectory in response to changing environmental conditions, demonstrating dynamic adaptability while maintaining efficient operation through selective path recalculation only when necessary.
Solution Approach 2:
Instead of recalculation the entire path continuously, the system focuses computational resources on local path adjustments near detected movable objects. This localized approach maintains adaptability to dynamic conditions while preserving overall computational efficiency by avoiding unnecessary global path recalculations.
Data Source
AI summary
A path providing system for a vehicle includes: a communication unit configured to receive, from a server, map information including a plurality of layers of data from a server, a path providing device configured to provide a path information to a vehicle. The path providing device includes an interface unit configured to receive sensing information from one or more sensors disposed at the vehicle, and a processor. The processor is configured to determine an optimal path for guiding the vehicle from an identified lane, generate autonomous driving visibility information based on the sensing information and the determined optimal path, and update the optimal path based on dynamic information related to a movable object located on the optimal path and the autonomous driving visibility information. The path providing system includes an event data recorder configured to store vehicle status information.