Vehicle Position-Time Mapping for Dashboard Video Retrieval
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Solution Overview
Problem
Existing vehicle monitoring systems struggle to accurately identify the time point at which a vehicle with a dashboard camera was present at a specific location, making it difficult to select the most relevant vehicle for providing video footage of an incident.
Innovation Solution
An information processing apparatus that outputs position information and time information for vehicles on a map, allowing operators to select vehicles based on precise time points and request video capture from onboard apparatuses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle monitoring systems use dashboard cameras to capture incident footage, then the ability to obtain video evidence is improved, but the difficulty of accurately identifying the specific vehicle and time point at the incident location increases
Solution Approach 1:
The patent introduces a server as an intermediary between multiple vehicles and the monitoring system. The server receives position information from vehicles, manages the data, and provides query capabilities to the terminal device. This intermediary structure resolves the complexity of directly identifying vehicles at incident locations by centralizing position data management and enabling efficient queries based on time and location parameters.
Solution Approach 2:
The patent replaces manual or mechanical methods of vehicle identification with automated electronic position information systems. Instead of physically tracking or manually recording vehicle locations, the system uses electronic position data transmitted by vehicles, processed by the server, and queried through digital interfaces. This substitution enables precise identification of vehicles at specific time points and locations through automated information retrieval.
2Measurement precision
If the system displays detailed position and time information for multiple vehicles, then the accuracy of vehicle selection is improved, but the complexity of the information processing system increases
Solution Approach 1:
The patent divides the information processing system into distinct functional modules: vehicles that generate position information, a server that manages and processes the data, and a terminal device that presents information to users. This segmentation allows each component to handle specific tasks efficiently, reducing overall system complexity while maintaining high measurement precision for vehicle identification.
Solution Approach 2:
The server acts as an intermediary that handles the complex tasks of receiving, storing, and processing position information from multiple vehicles. By offloading these complex processing functions to the server, the terminal device can focus on presenting simplified query interfaces and displaying results, thereby reducing the complexity burden on any single component while maintaining high identification precision.
3Measurement precision
If the system processes position information from multiple vehicles to identify the correct vehicle, then the accuracy of incident response is improved, but the time required to process and analyze the data increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing position information from vehicles in advance of any incident query. The server maintains an up-to-date database of vehicle positions and timestamps, so when an incident occurs, the system can quickly retrieve relevant information without needing to process raw data in real-time. This pre-processing significantly reduces the time required for accurate incident response while maintaining high precision.
Solution Approach 2:
The system implements feedback mechanisms where the terminal device queries the server for vehicle position information based on incident parameters, and the server responds with filtered and organized data. This feedback loop enables efficient iterative searching and refinement of vehicle identification, allowing the system to quickly converge on the correct vehicle by using feedback from each query to narrow down the search space.
Data Source
AI summary
An information processing apparatus comprises a controller configured to: output, based on a travel history of at least one vehicle, position information of the vehicle for generating a map on which a plurality of icons indicating positions of the vehicle at a plurality of time points are arranged, output time information corresponding to at least one icon among the plurality of icons, and transmit a video request requesting transmission of a video captured at a corresponding time point, to a vehicle or an onboard apparatus corresponding to a first icon specified by a first user operation.