Sensor Fusion for Adaptive Cruise Control Distance Detection
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Solution Overview
Problem
Radar-based adaptive cruise control systems face inaccuracies in determining distances to preceding vehicles, especially in close-range situations or when the vehicle is carrying awkward loads, leading to potential collisions due to the limitations of radar in accurately detecting the rear aspects of vehicles like flat-bed trucks.
Innovation Solution
A system integrating camera, radar, and sonar technologies to accurately determine distances between vehicles, where camera images aid in object recognition and modality selection between radar and sonar based on distance and vehicle type, ensuring accurate distance measurement across varying ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If radar-based sensing is used for distance detection, then long-range detection capability is improved, but close-range detection accuracy deteriorates
Solution Approach 1:
The system combines radar and sonar sensing modalities into a unified detection system. Radar handles long-range detection while sonar handles close-range detection, with the system seamlessly merging data from both sensors to achieve accurate distance measurement across all ranges.
Solution Approach 2:
The system dynamically switches between radar and sonar modalities based on the detected distance to the preceding object. When the object is within close range, the system transitions from radar-only to sonar-based or fused sensing, adapting the detection approach to optimize accuracy for the current operating condition.
2Device complexity
If single sensing modality is used, then system complexity is reduced, but detection reliability in varied conditions deteriorates
Solution Approach 1:
The system implements a multi-functional sensing approach where both radar and sonar sensors are integrated to handle diverse detection scenarios. The system can reliably detect objects in various conditions (long-range, close-range, different vehicle types) by selecting or combining appropriate sensing modalities, making the overall system universally applicable to all detection situations.
3Device complexity
If radar-only approach is used, then device complexity is reduced, but detection accuracy for vehicles with inconsistent rear planes deteriorates
Solution Approach 1:
The system introduces sonar sensing as an intermediary modality to complement radar detection. Sonar provides alternative detection capabilities that are less susceptible to the geometric challenges of inconsistent rear planes, acting as a mediator that fills the detection gaps left by radar in difficult scenarios.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of adaptive cruise control by effectively determining distances in both long and short ranges, improving safety by accurately adjusting vehicle speed and maintaining a safe following distance, even in complex scenarios like stop-and-go traffic or when encountering vehicles with unusual rear loads.
Implementation Method 1
a first sensing modality (e.g., radar) to acquire a first sensed parameter related to the distance between the user vehicle and the preceding object
Implementation Method 2
a second sensing modality (e.g., sonar) to acquire a second sensed parameter related to the distance between the user vehicle and the preceding object
Data Source
AI summary
The present disclosure relates to a method for determining inter-vehicle distance during adaptive cruise control. Moreover, the method is directed to the integration of multiple sensing modalities to accurately determine inter-vehicle distance at close ranges. This approach exploits standard, vehicle-based sensors and processing circuitry to improve the selection of sensing modalities during inter-vehicle distance determination.