Acceleration Sensor Collision Detection for Automated Driving
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Solution Overview
Problem
Existing automated driving systems for transportation vehicles are costly due to the high expense of sensor systems like camera systems, laser scanners, and radar sensors, making them unsuitable for mass-market vehicles, and there is a need for a cost-effective method to ensure safety by detecting collisions.
Innovation Solution
A device and method utilizing acceleration sensors, potentially combined with ultrasonic sensors, to detect collisions and control actuator systems for automated driving, allowing for cost-effective obstacle detection and safe braking, with sensors installed on the vehicle's bumper for effective collision detection and using shared components to reduce costs and complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expensive sensor systems like camera systems, laser scanners, and radar sensors are used for automated driving, then collision detection capability is improved, but system cost increases significantly
Solution Approach 1:
The patent replaces expensive, complex sensor systems (camera systems, laser scanners, radar sensors) with inexpensive acceleration sensors that can detect collisions effectively. The acceleration sensors are positioned on the vehicle body to detect collision events, providing reliable collision detection at a fraction of the cost of traditional sensor systems.
Solution Approach 2:
The patent extracts the essential collision detection function from complex sensor systems and implements it using simple acceleration sensors. By focusing only on the core function of detecting collision events rather than comprehensive environmental sensing, the system achieves cost-effectiveness while maintaining safety for automated driving operations.
2Measurement precision
If multiple sensor systems are used for comprehensive surrounding detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts the collision detection function from complex multi-sensor systems and implements it using simple acceleration sensors positioned on the vehicle body. This approach achieves sufficient measurement precision for collision events without the complexity of multiple sensor types.
Solution Approach 2:
The patent uses inexpensive acceleration sensors instead of expensive camera systems, laser scanners, and radar sensors to detect collisions. The acceleration sensors provide adequate measurement precision for collision detection while dramatically reducing system complexity and cost.
3Reliability
If advanced sensor systems are deployed for safe automated driving, then safety is improved, but material costs and maintenance costs increase
Solution Approach 1:
The patent uses inexpensive acceleration sensors positioned on the vehicle body to detect collisions, replacing expensive sensor systems. This approach maintains safety for automated driving while dramatically reducing material costs and maintenance costs associated with complex sensor systems.
Solution Approach 2:
The patent extracts the essential safety function of collision detection from complex sensor systems and implements it using simple acceleration sensors. This reduces both material costs and maintenance costs while providing adequate safety for automated driving operations.
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
Enables safe and cost-effective automated driving by using acceleration sensors to detect collisions and control vehicle braking, reducing material and maintenance costs while providing redundant sensing and improved collision detection capabilities.
Implementation Method 1
uses the measurement data acquired by the at least one acceleration sensor to detect collisions with obstacles
Data Source
AI summary
A device for autonomously driving a transportation vehicle having at least one sensor system for sensing a surrounding area of the vehicle, at least one controller for controlling at least one actuator system of the vehicle, and a memory for storing a map of the surroundings, wherein the at least one controller evaluates surroundings data collected by the at least one sensor system, determines the location of the vehicle by the evaluated surroundings data in the map of the surroundings, and controls the at least one actuator system of the vehicle so that a predefined trajectory is travelled autonomously, wherein the controller has an obstacle-detection device to detect obstacles in the surroundings of the vehicle, wherein the at least one sensor system has at least one acceleration sensor, and the obstacle-detection device uses measurement data collected by the at least one acceleration sensor to detect collisions with obstacles.