Adaptive Cruise Control Obstacle Detection Using Map Data
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Solution Overview
Problem
Current adaptive cruise control (ACC) devices face challenges in rapidly recognizing preceding vehicles, especially in gradients, curves, and intersections, leading to delayed deceleration and increased risk of collisions due to the time required for obstacle detection and determination.
Innovation Solution
The integration of terrain information from navigation devices into the obstacle detection process allows for earlier recognition of preceding vehicles by adjusting the determination conditions based on the vehicle's position and environment, reducing the time needed to initiate deceleration and improve safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the ACC device uses a usual preceding vehicle determination process to continuously check for several seconds, then the determination reliability is improved, but the response time is delayed
Solution Approach 1:
The system performs preliminary actions by using map data to predict the presence of preceding vehicles before they are actually detected by sensors. When the host vehicle approaches a location where a preceding vehicle is likely to exist (based on map information about curves, gradients, intersections), the system proactively prepares for potential obstacle detection, thereby reducing the determination time while maintaining reliability.
2Measurement precision
If the sensor uses a required determination time to check the presence of the preceding vehicle, then the detection accuracy is improved, but the deceleration timing is delayed
Solution Approach 1:
The system performs preliminary detection by combining map data with sensor information. Before the sensor needs to continuously check for several seconds, the map data provides advance information about areas where preceding vehicles are likely to exist, allowing the system to start the determination process earlier and reduce the overall detection time while maintaining accuracy.
Solution Approach 2:
Map data serves as an intermediary that bridges the gap between sensor detection and actual preceding vehicle presence. The map information about road geometry (curves, gradients, intersections) acts as a mediator that helps the system predict and prepare for potential obstacles, reducing the time needed for sensor-based determination while maintaining detection accuracy.
3Reliability
If the ACC device requires several seconds to recognize a preceding vehicle, then the false positive rate is reduced, but the safety response is delayed
Solution Approach 1:
The system performs preliminary assessment using map data to identify locations where preceding vehicles are likely to exist. This preliminary action allows the system to start sensor monitoring and determination processes earlier, reducing the overall recognition time while maintaining reliability by cross-referencing map information with actual sensor detections.
Solution Approach 2:
The system uses feedback from map data about road geometry and predicted vehicle positions to adjust the determination process. When map information indicates a high probability of preceding vehicle presence (e.g., approaching a curve or intersection), the system adjusts its detection parameters and timing, enabling faster recognition while maintaining low false positive rates through continuous verification.
Data Source
AI summary
A cruise control device and an obstacle detection device are provided which achieve a safe and appropriate tracking control by avoiding a sudden recognition of a short following distance when a preceding vehicle is found in an uphill or downhill gradient, in a curve, or at an intersection, or by reducing the damage of a crash when the crash cannot be avoided. An obstacle determination process section is provided which receives information from a sensor which detects an obstacle, receives terrain information of the position of the host vehicle from a navigation device, and determines the presence of the obstacle when a predetermined condition is satisfied after the sensor detects the obstacle. The predetermined condition to determine the presence of the obstacle is changed based on the terrain information of the position of the host vehicle received from the navigation device.