Autonomous Vehicle Parking Relocation for Load Space Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In complex parking situations, such as densely packed parking lots, it can be difficult for drivers to approach and load items into their vehicles, especially when carrying shopping carts, due to the lack of accessible space.
Innovation Solution
An autonomous vehicle system that includes a processor, sensor, and communication module, which detects the surrounding parking situation and controls the vehicle's movement to ensure accessibility to the load space, allowing for convenient loading and unloading of items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the vehicle is parked in a densely packed parking lot to maximize parking capacity, then the parking capacity is improved, but the accessibility to the load space deteriorates
Solution Approach 1:
The vehicle transitions from a static parked state to a dynamic autonomous movement state. When the system detects that the load space is inaccessible due to dense parking conditions, the vehicle automatically navigates to an accessible parking spot, transforming the fixed parking arrangement into a dynamic adjustment process that maintains both high parking capacity and load space accessibility.
2Ease of operation
If the driver manually moves the vehicle to an accessible space, then the accessibility to load space is improved, but the time and effort required increases
Solution Approach 1:
The vehicle performs the relocation task autonomously without requiring driver intervention. The system detects inaccessible parking conditions, determines the need for relocation, and executes the movement to an accessible spot automatically, enabling the vehicle to serve itself and eliminating the time and effort the driver would otherwise need to spend on this task.
Solution Approach 2:
The manual mechanical operation of moving the vehicle by hand is replaced with an automated control system that uses sensors to detect parking conditions and controls the vehicle's movement mechanisms. This substitution of manual mechanical action with an automated sensor-controlled system resolves the contradiction by providing quick accessibility adjustment without driver effort.
3Measurement precision
If the processor remains active continuously to monitor parking conditions, then the detection accuracy is improved, but the energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic detection triggered by specific events. The processor activates the driver parking assist function and initiates surrounding situation detection when an approach signal is received or when parking conditions change, rather than running continuously. This periodic action maintains detection accuracy for critical moments while significantly reducing overall energy consumption during idle parking periods.
Solution Approach 2:
The system maintains readiness for detection by keeping the communication module active to receive approach signals, while the processor can be in a low-power state. When an approach signal is detected or parking conditions require monitoring, the processor activates to perform the useful detection action continuously only when needed, optimizing the balance between detection capability and energy usage.
Data Source
AI summary
A method of controlling an autonomous vehicle can include, under the control of a processor and in response to an approach signal being received through a communication module, activating a driver parking assist function, when the driver parking assist function is activated, detecting a surrounding situation of the autonomous vehicle using a sensor and determining whether a load space at the autonomous vehicle is accessible, and moving the autonomous vehicle in response to a determination that the load space is inaccessible.