Idealized Passing Maneuver Determination Using Surroundings Modeling
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Solution Overview
Problem
Existing methods for determining idealized passing maneuvers in vehicles do not adequately account for instantaneous and future surroundings, leading to increased road risks due to unpredictable vehicle behavior and oncoming traffic, which can result in unsafe passing maneuvers.
Innovation Solution
A method that involves receiving data values representing a passing maneuver, requesting and receiving surroundings data, determining a surroundings model using a digital map, and providing an idealized passing maneuver as second data values to ensure safe and comfortable passing, by simulating possible maneuvers and minimizing risks through real-time detection and up-to-date surroundings modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing methods for determining passing maneuvers are used, then the passing maneuver can be executed, but road risks increase due to inadequate accounting for instantaneous and future surroundings
Solution Approach 1:
The system performs preliminary determination of the surroundings model using instantaneous and future surroundings data before executing the passing maneuver. This advance planning allows the vehicle to simulate possible maneuvers and identify the idealized passing path that minimizes risks, rather than reacting during the maneuver itself.
Solution Approach 2:
The system creates a digital copy of the surroundings environment through the surroundings model, which represents the real-world instantaneous and future surroundings. This virtual model allows for safe simulation and evaluation of different passing maneuvers without actual physical trial and error, improving safety while managing complexity.
2Reliability
If real-time surroundings data is collected and modeled, then passing maneuver safety improves, but data processing time and computational load increase
Solution Approach 1:
The surroundings model is determined in advance using available instantaneous and future surroundings data before the passing maneuver is executed. This preliminary modeling allows sufficient time for data processing and maneuver simulation without delaying the actual passing operation.
Solution Approach 2:
The system proactively identifies and mitigates potential risks by simulating possible passing maneuvers and selecting the idealized path before the maneuver begins. This advance risk assessment prevents hazardous situations rather than reacting to them, reducing the need for time-consuming real-time adjustments during the maneuver.
3Measurement precision
If the surroundings model is updated frequently with instantaneous and future data, then the idealized passing maneuver accuracy improves, but system complexity and processing requirements increase
Solution Approach 1:
The surroundings model serves multiple functions: it represents the instantaneous environment, predicts future surroundings, and enables simulation of passing maneuvers. This multi-functionality allows a single integrated system to handle diverse data types and processing requirements without proportionally increasing complexity.
Solution Approach 2:
The system creates a comprehensive yet manageable digital representation of the surroundings that captures essential features needed for maneuver planning. This virtual model allows repeated queries and simulations without requiring continuous full-scale sensor processing, balancing precision with system complexity.
Data Source
AI summary
A method for determining an idealized passing maneuver includes receiving first data values that represent a passing maneuver of a first vehicle to pass a second vehicle, requesting and receiving surroundings data values that represent instantaneous and/or future surroundings of the first vehicle and/or of the second vehicle, determining a surroundings model of the first vehicle based on the surroundings data values and on a digital map that represents the instantaneous and/or future surroundings of the first vehicle and/or of the second vehicle, determining an idealized passing maneuver for the first vehicle to carry out the passing maneuver based on the surroundings model, and providing the idealized passing maneuver in the form of second data values for receipt by the first vehicle.