Vehicle Parking Assistance System Overtaking Collision Avoidance
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Solution Overview
Problem
Conventional vehicle assistance systems do not account for overtaking traffic during manual, semi-automatic, or automatic parking maneuvers, leading to critical driving situations, especially on busy roads, as the driver is responsible for adjusting the parking process to avoid collisions.
Innovation Solution
The system uses a combination of sensors, including ultrasonic, radar, infrared, LIDAR, and cameras to detect objects in the vehicle's vicinity, issuing warnings or adjusting the parking process by delaying it or calculating a corrected trajectory to avoid potential collisions, allowing for semi-automatic or automatic adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the driver manually monitors and adjusts the parking process to avoid collisions with overtaking vehicles, then safety is improved, but the complexity of operation increases and the parking process becomes less efficient
Solution Approach 1:
The assistance system automatically detects overtaking vehicles and adjusts the parking process without requiring continuous manual monitoring by the driver. The system serves itself by autonomously making decisions about when to delay or abort parking maneuvers based on sensor data from surrounding vehicles.
Solution Approach 2:
The system continuously monitors the lateral area for overtaking vehicles using sensors and provides real-time feedback to adjust the parking process. This closed-loop feedback mechanism allows the system to respond dynamically to changing traffic conditions, improving safety while reducing driver burden.
2Reliability
If the driver frequently brakes to delay the parking process when overtaking vehicles are detected, then safety is improved, but the duration of the parking process increases and brake wear increases
Solution Approach 1:
The system detects overtaking vehicles in advance and proactively delays the parking process before a collision risk materializes. By taking preliminary action to adjust the parking trajectory or pause the maneuver, the system avoids the need for frequent emergency braking, thereby reducing both time loss and brake wear.
Solution Approach 2:
The assistance system autonomously manages the parking process adjustments, eliminating the need for repeated manual braking interventions. The system self-regulates the parking maneuver based on detected traffic conditions, optimizing the balance between safety and efficiency.
3Device complexity
If conventional assistance systems only detect stationary objects during parking, then the device complexity is reduced, but the reliability decreases when overtaking traffic is present
Solution Approach 1:
The assistance system is enhanced to perform multiple functions: it detects both stationary objects (parking space boundaries, curbs) and moving objects (overtaking vehicles) using the same sensor platform. This multi-functionality allows the system to handle diverse parking scenarios reliably without proportionally increasing complexity.
Solution Approach 2:
The system combines the detection of stationary and moving objects into a unified sensing and processing framework. By merging these detection capabilities, the system achieves comprehensive situational awareness for parking maneuvers without requiring separate dedicated systems, thus maintaining reasonable complexity while improving reliability.
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
This approach reduces the frequency and intensity of braking during parking, shortening the parking process, minimizing brake and tire wear, and enhancing safety by automatically adjusting for overtaking vehicles, thereby reducing the risk of collisions.
Implementation Method 1
The first sensor includes at least one ultrasonic sensor
Implementation Method 2
The second sensor includes at least one radar sensor
Implementation Method 3
a radar, infrared, LIDAR and/or a capacitive sensor and/or an area camera
Implementation Method 4
a radar, infrared, LIDAR and/or a capacitive sensor and/or an area camera
Data Source
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AI summary
A method for a vehicle assistance system is described, comprising at least one first sensor and at least one second sensor. The first sensor determines distances to objects in the vehicle's surroundings. A control unit calculates a trajectory for a potential parking maneuver from these determined distances. The second sensor monitors the lateral area of the vehicle for another vehicle. Upon detection of another vehicle by the second sensor, a predicted trajectory of the other vehicle is calculated. By comparing the trajectory with the predicted trajectory, the control unit detects a potential future collision between the other vehicle and the first vehicle. Upon detection of a potential future collision, the parking maneuver is delayed along the trajectory.