Cognitive Sensor Parking Route Search Without Infrastructure Markers
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Solution Overview
Problem
Conventional remote autonomous parking systems rely heavily on infrastructure and external data communication, limiting their ability to perform autonomous parking in environments without pre-built markers or in areas with poor data communication, such as underground spaces.
Innovation Solution
A cognitive sensor-based system that uses a global path search module and an optimal local path generation module to determine an optimal route for autonomous parking by detecting obstacles and identifying free spaces within a parking lot, allowing for infrastructure-independent autonomous parking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional remote autonomous parking systems use infrastructure and markers for path recognition, then autonomous parking can be performed accurately in parking lots with built infrastructure, but the system cannot perform autonomous parking in environments without pre-built infrastructure or in underground spaces with poor data communication
Solution Approach 1:
The vehicle performs autonomous parking using its own onboard sensors (cameras, ultrasonic sensors, LiDAR) to detect obstacles and generate paths, without relying on external infrastructure or markers. The vehicle serves itself by using its own sensing capabilities to navigate and park autonomously in various environments including underground spaces.
Solution Approach 2:
The patent replaces the mechanical/physical infrastructure system (markers, induction lines, RFID tags) with a sensor-based detection system. Instead of relying on pre-built physical guides, the system uses cognitive sensors to perceive the environment and generate navigation paths dynamically.
2Reliability
If the system relies on external data communication infrastructure for autonomous parking, then accurate path generation is possible in well-connected areas, but the system fails in underground spaces or areas with poor data communication
Solution Approach 1:
The vehicle generates its own navigation paths using onboard sensor data and processing units, eliminating dependence on external data communication infrastructure. The system processes sensor information locally to create global and local paths, enabling autonomous operation in areas with poor or no communication connectivity.
3Adaptability or versatility
If the system uses cognitive sensors to detect obstacles and generate paths independently, then autonomous parking can be performed without pre-built infrastructure, but the system complexity increases due to sensor integration and path generation algorithms
Solution Approach 1:
The path generation process is divided into two independent modules: global path generation (overall route from start to destination) and local path generation (detailed navigation avoiding obstacles). This segmentation allows each module to focus on specific tasks, managing complexity while achieving comprehensive autonomous navigation capability.
Solution Approach 2:
The cognitive sensor system serves multiple functions: obstacle detection, free space identification, global path generation, and local path adjustment. By making the sensor system multi-functional, the patent reduces the need for separate specialized components, thereby managing overall system complexity while achieving infrastructure-independent operation.
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 autonomous parking in environments without pre-built infrastructure by generating a global path and optimal local path using cognitive information from sensors like ultrasound, cameras, and LiDAR, ensuring stable and efficient parking operations.
Implementation Method 1
cognitive sensor that obtains cognitive information for determining existence and a location of an obstacle by sensing a space around a vehicle
Implementation Method 2
cognitive sensor that obtains cognitive information for determining existence and a location of an obstacle by sensing a space around a vehicle
Data Source
AI summary
A cognitive sensor-based autonomous parking route search system includes a cognitive sensor configured to obtain cognitive information for determining an existence and a location of an obstacle by sensing a space around a vehicle being driven in an inside of a parking lot, a global path search module configured to generate a global path for the inside of the parking lot as a node map by searching for a free space, in which the vehicle is capable of being driven, based on the cognitive information and by setting a node in the free space, and an optimal local path generation module configured to generate an optimal local path from a current location of the vehicle to a destination by connecting the node set in the free space while the vehicle moves inside the parking lot.