In-Vehicle Display Object Detection via LIDAR Data Segmentation
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Solution Overview
Problem
Current vehicle navigation systems provide limited situational awareness by relying on simplistic indicators for detected objects, such as flashing lights or audible alarms, without detailed representations of object locations or additional information, leading to incomplete understanding of the surrounding environment.
Innovation Solution
An integrated display system that uses LIDAR point cloud data to detect and down-sample objects, converting the data into reduced-size representations for efficient processing and rendering as graphical elements within a navigation display, providing contextual information like object type, size, and location, while minimizing lag and enhancing situational awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If LIDAR point cloud data is displayed in real-time within the navigation display, then situational awareness is improved, but data processing lag increases due to large data quantities
Solution Approach 1:
The system segments the LIDAR point cloud data by separating detected objects from the full point cloud dataset. Only the relevant object data is extracted and transmitted to the display system, while the remaining data is discarded. This segmentation approach maintains complete situational awareness of detected objects while dramatically reducing the data volume that requires real-time processing and transmission, thereby eliminating display lag.
2Loss of information
If detailed representations of detected objects are provided, then situational awareness is improved, but device complexity increases
Solution Approach 1:
The system extracts only the essential object information (presence, location, and basic characteristics) from the LIDAR point cloud data and transmits this extracted data to the display system. By taking out only the necessary information elements rather than processing and displaying all raw data, the system provides detailed object representations for situational awareness while keeping the processing system relatively simple and efficient.
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
The system improves situational awareness by providing detailed, real-time visualizations of detected objects within the navigation display, reducing data processing lag and enhancing the driver's understanding of the environment through accurate and efficient rendering of object locations and characteristics.
Implementation Method 1
a light detection and ranging (LIDAR) sensor uses light/lasers to scan the surrounding environment and detect a presence of objects in the surrounding environment
Data Source
AI summary
System, methods, and other embodiments described herein relate to improving situational awareness of occupants of a vehicle. In one embodiment, a method includes analyzing, using at least a processor of the vehicle, scan data from a sensor of the vehicle to detect at least one object within the surrounding environment. The method includes converting the scan data into converted data that represents the at least one object with a reduced quantity of data. The method includes rendering, using the converted data, at least one graphic that is a visual representation of the at least one object. The method includes displaying the at least one graphic within a display of the vehicle at a location within the display that represents a location of the at least one object relative to the vehicle in the surrounding environment.