Adaptive Cruise Control Target Selection Logic
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Solution Overview
Problem
Adaptive cruise control systems face inaccuracies in selecting target vehicles due to road environments where lane changes are physically or legally prohibited, leading to erroneous detection of adjacent vehicles as target vehicles.
Innovation Solution
An apparatus and computer program that detect other vehicles and adjust target-vehicle selecting conditions based on the environment of the predicted travel road, determining if lane changes are allowed, thereby reducing the likelihood of erroneous target vehicle selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the adaptive cruise control system selects adjacent vehicles as target vehicles based on lane-change probability alone, then the system can respond to potential lane-change situations, but it causes erroneous detection of target vehicles in road environments where lane changes are physically or legally prohibited
Solution Approach 1:
The system performs preliminary detection of road environment characteristics (lane separators, obstacles, legal restrictions) before selecting a target vehicle. By recognizing the road environment in advance and determining whether lane changes are allowed, the system adjusts the target-vehicle selecting condition proactively, preventing erroneous detection rather than correcting it afterward.
Solution Approach 2:
The target-vehicle selecting condition is made dynamic by adjusting it based on the recognized road environment. The control unit modifies the selection criteria in real-time according to whether the road allows lane changes, transforming a static selection threshold into a dynamic parameter that adapts to environmental constraints.
2Adaptability or versatility
If the system uses a fixed target-vehicle selecting condition, then the control logic remains simple, but it cannot adapt to different road environments where lane changes may be prohibited
Solution Approach 1:
The system applies different target-vehicle selecting conditions to different local road environments. By recognizing specific environmental characteristics (such as presence of lane separators, obstacles, or legal restrictions), the system tailors the selection criteria to each local context, ensuring appropriate behavior for each road type rather than using a one-size-fits-all approach.
Solution Approach 2:
The system incorporates feedback from the road environment recognition process to continuously adjust the target-vehicle selecting condition. The control unit receives information about the predicted travel road environment and uses this feedback to modify the selection criteria, creating a closed-loop system that adapts to environmental changes.
Data Source
AI summary
In an apparatus for controlling a vehicle to track another vehicle, a controller causes the controlled vehicle to track one of other vehicles as a target vehicle if one of the other vehicles meets a target-vehicle selecting condition. The target-vehicle selecting condition is required for selecting one of the other vehicles as the target vehicle. The controller recognizes an environment of a predicted travel road on which the controlled vehicle is predicted to travel using conditions of the predicted travel lane. The controller determines whether the predicted travel road allows lane changes based on the recognized environment of the predicted travel road. The controller adjusts the target-vehicle selecting condition based on a result of the determination.