Vehicle Driving Mode Switching Using Trajectory Regions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing automated driving control systems face increased processing loads due to complex calculations and data analysis, leading to inefficiencies in determining real-time automated driving or driving assist areas and notifying occupants of mode changes.
Innovation Solution
A driving control system that includes a position information acquiring unit, another vehicle information acquiring unit, a storage unit for high-precision maps, and a driving control mode determining unit, which plots and determines driving control modes based on vehicle trajectories and notifies occupants of mode changes, while using a database to store and analyze travel data for congestion zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex calculation processes are executed to detect traveling lane changes and calculate avoidance sections, then route search accuracy is improved, but processing load increases
Solution Approach 1:
The system pre-calculates and stores traveling avoidance sections and traveling rules in advance based on historical lane change data, so that during actual route search, the pre-computed data can be directly utilized without performing complex real-time calculations, thus reducing processing load while maintaining route search accuracy
Solution Approach 2:
Instead of processing all possible lane change scenarios comprehensively, the system focuses on extracting and storing only the essential traveling avoidance sections and traveling rules that are most relevant to route planning, reducing the overall processing burden while preserving necessary accuracy
2Reliability
If real-time monitoring and analysis of driving environment are performed to grasp traffic situations, then traffic situation awareness is improved, but processing load increases
Solution Approach 1:
The system pre-processes and stores traveling avoidance section data and traveling rules during off-peak periods or using historical data, creating a ready-to-use database that can be quickly queried during real-time operation without requiring intensive real-time analysis, thus maintaining traffic situation awareness while reducing processing load
Solution Approach 2:
The system introduces pre-computed traveling rules and avoidance sections as intermediary data structures that bridge raw sensor data and route planning decisions, allowing the system to avoid direct real-time analysis of complex driving environments while still achieving accurate traffic situation understanding
3Measurement precision
If extraction and learning processes are performed on past travel history to identify future routes, then route prediction accuracy is improved, but real-time information acquisition is delayed and processing load increases
Solution Approach 1:
The system performs extraction and learning processes on past travel history in advance, pre-computing traveling avoidance sections and traveling rules that can be directly applied to future route predictions without requiring real-time processing, thus achieving both high prediction accuracy and real-time performance
Data Source
AI summary
A driving control system includes a position information acquiring unit, an another vehicle information acquiring unit, a storage unit, a drawing processing unit, a driving control mode determining unit, a notification unit, and a driving control unit. The drawing processing unit draws a region where a traveling trajectory of an own vehicle in an automated driving mode or a driving assist mode and a traveling trajectory of another vehicle in either mode are plotted on a high-precision map. The driving control mode determining unit determines a driving control mode, based on at least the region and position information of the own vehicle. The notification unit notifies an occupant of the own vehicle when the own vehicle enters or exits the region. The driving control unit controls start and end of automated driving control or driving assist control of the own vehicle when the own vehicle enters or exits the region.