Vehicle Starting Intention Detection for Adaptive Cruise Control
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Solution Overview
Problem
Existing driver assistance systems cannot distinguish between a parked and a briefly stopped vehicle, leading to unnecessary waiting and energy consumption.
Innovation Solution
A method and device that detect a stopped vehicle's starting intention using criteria such as stop time, lateral distance from the shoulder, vehicle lighting state, door position, and thermal imaging, forming decision data to determine if the vehicle will start, allowing for adaptive control of the host vehicle to bypass or wait.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver assistance system waits behind a stopped vehicle to determine whether it will start, then the system can avoid unnecessary bypass maneuvers, but this causes time loss and additional energy consumption
Solution Approach 1:
The system performs preliminary analysis of multiple criteria (stop duration, lateral position, lighting state, door position, thermal imaging) to predict whether the stopped vehicle will start before making a bypass decision. This preliminary assessment allows the host vehicle to make an informed decision without unnecessary waiting, resolving the contradiction between reliable stopping decisions and time loss.
2Reliability
If the driver assistance system waits behind a stopped vehicle to determine whether it will start, then the system can avoid unnecessary bypass maneuvers, but this causes additional energy consumption
Solution Approach 1:
The system conducts a comprehensive preliminary evaluation using multiple detection criteria (stop time, lateral distance from shoulder, vehicle lighting state, door position, thermal imaging data) to predict the starting intention of the stopped vehicle. This enables the host vehicle to bypass parked vehicles immediately without waiting, thereby avoiding unnecessary energy consumption while maintaining accurate decision-making.
3Measurement precision
If the system uses multiple detection criteria (stop time, lateral distance, lighting state, door position, thermal imaging) to determine starting intention, then the accuracy of distinguishing parked vs. briefly stopped vehicles improves, but the system complexity increases
Solution Approach 1:
The detection system is divided into multiple independent modules, each responsible for a specific criterion: stop duration detection, lateral position detection, lighting state detection, door position detection, and thermal imaging detection. Each module processes its specific parameter independently and provides input to the integrated evaluation unit, which combines all criteria to determine starting intention. This segmentation approach enables high measurement precision while managing system complexity through modular design.
Data Source
AI summary
In a method for detecting a starting intention of a stopped vehicle, a starting intention criterion is ascertained upon detection of a stopped vehicle, and decision data are formed based on the starting intention criterion, which decision data include an item of information on whether or not the stopped vehicle will start.