SYSTEMS AND METHODS FOR EVALUATING EXTERNAL QUALITY OF A VEHICLE
An infrastructure-based system with sensors and automated algorithms addresses exterior quality evaluation inefficiencies by ensuring accurate and efficient documentation and management of vehicle issues, reducing repair delays and insurance disputes.
Patent Information
- Application Number
- DE102025102318
- Authority / Receiving Office
- DE · DE
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-01-26
- Filing Date
- 2025-01-22
- Publication Date
- 2025-07-31
AI Technical Summary
Existing vehicle evaluation systems face inefficiencies in identifying and documenting exterior quality issues, leading to missed inspections, repair delays, and documentation problems across various ownership transitions.
An infrastructure-based system using sensors and automated vehicle ranking algorithms to acquire and analyze vehicle exterior images, navigate vehicles for quality checks, and document issues, integrating with a cloud system for centralized management and evidence storage.
Ensures accurate and efficient exterior quality evaluation and documentation, reducing repair delays and insurance disputes by providing objective comparisons and evidence across different ownership scenarios.
Smart Images
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Abstract
Claims
[1] Method comprising: Obtaining a first set of images of an exterior of one or more vehicles by one or more sensors of an infrastructure system; Determining a condition of the exterior of the one or more vehicles by an automated vehicle maneuvering algorithm of the infrastructure system, wherein the determination of the condition of the exterior of the one or more vehicles is based on the first set of images; and Causing the one or more vehicles to navigate toward a waypoint and to record one or more properties associated with the one or more vehicles based on the condition of the exterior of the one or more vehicles failing a quality check. [2] The method of claim 1, further comprising: Determine whether the condition meets the quality inspection. [3] The method of claim 1, wherein the condition of the one or more vehicles comprises a vehicle paint condition, one or more vehicle dents, a vehicle exterior part misalignment, an incorrect trim installation associated with the one or more vehicles, or a combination thereof. [4] The method of claim 1, further comprising: transmitting a shunting status of the one or more vehicles based on the exterior condition of the one or more vehicles not meeting the quality inspection to a vehicle manufacturing cloud system; and Causing the vehicle manufacturing cloud system to store the first set of images of the exterior of the one or more vehicles based on the transmission of the maneuvering status of the one or more vehicles. [5] The method of claim 1, further comprising: Receiving the one or more characteristics from the one or more vehicles, wherein the one or more characteristics serve as evidence of investigation associated with the condition of the exterior of the one or more vehicles, and wherein the one or more characteristics include a location associated with the one or more vehicles, a snapshot recording of the exterior of the one or more vehicles, or a combination thereof. [6] The method of claim 1, further comprising: Obtaining a second set of images of the exterior of the one or more vehicles by the one or more sensors of the infrastructure system; Comparing the first set of images with the second set of images by the automated vehicle shunting algorithm and a neural network module of the infrastructure system; and Determining a difference between the first set of images and the second set of images based on the comparison of the first set of images and the second set of images. [7] The method of claim 6, wherein a result of determining the difference between the first set of images and the second set of images is stored in a database associated with the infrastructure system, and wherein the stored result serves as inspection evidence associated with the condition of the exterior of the one or more vehicles. [8] The method of claim 1, wherein the one or more characteristics associated with the one or more vehicles are captured via one or more vehicle sensors. [9] System comprising: an infrastructure system configured to: Obtaining a first set of images of an exterior of one or more vehicles by one or more sensors of the infrastructure system, Determining a condition of the exterior of the one or more vehicles by an automated vehicle maneuvering algorithm of the infrastructure system, wherein the determination of the condition of the exterior of the one or more vehicles is based on the first set of images, and causing the one or more vehicles to navigate toward a waypoint and to record one or more properties associated with the one or more vehicles based on the condition of the exterior of the one or more vehicles failing a quality check; a vehicle manufacturing cloud system configured to: Receiving a shunting status of the one or more vehicles and Storing the first set of images of the exterior of the one or more vehicles; and wherein the one or more vehicles are configured to: Recording the one or more properties via one or more vehicle sensors and Transferring one or more properties. [10] The system of claim 9, wherein the infrastructure system is further configured to: Determine whether the condition meets the quality inspection. [11] The system of claim 9, wherein the condition of the one or more vehicles comprises a vehicle paint condition, one or more vehicle dents, a vehicle exterior part misalignment, an incorrect trim installation associated with the one or more vehicles, or a combination thereof. [12] The system of claim 9, wherein the infrastructure system is further configured to: Transferring a shunting status of the one or more vehicles based on the exterior condition of the one or more vehicles not meeting the quality inspection; and Causing the vehicle manufacturing cloud system to store the first set of images of the exterior of the one or more vehicles based on the transmission of the maneuvering status of the one or more vehicles. [13] The system of claim 9, wherein the infrastructure system is further configured to: Receiving the one or more properties, wherein the one or more properties serve as evidence of investigation, associated with the condition of the exterior of the one or more vehicles, and wherein the one or more properties include a location associated with the one or more vehicles, a snapshot recording of the exterior of the one or more vehicles, or a combination thereof. [14] The system of claim 9, wherein the infrastructure system is further configured to: Obtaining a second set of images of the exterior of the one or more vehicles by the one or more sensors of the infrastructure system; Comparing the first set of images with the second set of images by the automated vehicle shunting algorithm and a neural network module of the infrastructure system; and Determining a difference between the first set of images and the second set of images based on the comparison of the first set of images and the second set of images. [15] The system of claim 9, wherein a result of determining the difference between the first set of images and the second set of images is stored in a database associated with the infrastructure system, and wherein the stored result serves as inspection evidence associated with the condition of the exterior of the one or more vehicles.