Low-Bandwidth Train Remote Control with Dual-Channel Video
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Solution Overview
Problem
Existing methods for remote control of automated trains require significant bandwidth for transmitting high-resolution video data, which can lead to image blurring, jerky images, and safety risks due to unreliable recognition of critical track features, especially when bandwidth is limited.
Innovation Solution
A method involving two processing lines: reducing high-resolution image frames to low-resolution frames for general orientation and applying pattern recognition to identify safety-critical objects, transmitting object IDs and properties via a second channel for seamless overlay at the control center, reducing bandwidth requirements while ensuring critical details are clearly visible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution video data is transmitted for remote control, then image quality and safety recognition are improved, but bandwidth consumption increases significantly
Solution Approach 1:
The video data transmission is segmented into two processing lines: the first transmits low-resolution image frames for general overview, while the second transmits only safety-critical objects identified through pattern recognition. This segmentation allows the system to reduce overall bandwidth consumption while maintaining high-quality transmission of critical safety information.
2Quantity of substance
If image compression is applied to save bandwidth, then bandwidth consumption is reduced, but image details become blurred
Solution Approach 1:
Different quality levels are applied to different parts of the image data. Low-resolution compression is applied to the overall image frames, while high-resolution uncompressed data is transmitted for safety-critical objects. This local quality differentiation ensures bandwidth efficiency while preserving essential safety details.
3Quantity of substance
If low pixel resolution is used to save bandwidth, then bandwidth consumption is reduced, but safety-relevant details become unrecognizable
Solution Approach 1:
Pattern recognition acts as an intermediary process that identifies safety-critical objects in the low-resolution image frames. These identified objects are then transmitted with high resolution through the second processing line, ensuring that safety-relevant details are recognizable while maintaining bandwidth efficiency for non-critical areas.
4Quantity of substance
If extensive image compression is applied, then bandwidth consumption is reduced, but image quality deteriorates
Solution Approach 1:
Instead of applying compression uniformly to the entire image, the system applies partial compression only to non-critical areas. Safety-critical objects are transmitted with excessive quality (high resolution without compression) to ensure their clear visibility, while bandwidth is saved by compressing or reducing resolution of non-critical background areas.
Data Source
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AI summary
In summary, the present invention proposes a safe train remote control of an automated train (ATR), wherein the track section ahead of the automated train (ATR) is watched with a video camera system (CAM) producing high resolution image frames (HRI). The high resolution image frames (HRI) are converted to low resolution image frames (LRI) and transmitted via a mobile communication network (MCN) to a train remote control console in a trackside control centre (COC) via a fist data channel (CH1). Further, the high resolution image frames (HRI) undergo a pattern recognition, and for identified objects corresponding to reference objects in a map data base (MDB), a reconstruction information is transmitted via the mobile communication network (MCN) to the train remote control console via a second data channel (CH2). At the train remote control console, high resolution object appearances (HROA) for the identified objects is reconstructed using the reconstruction information and a corresponding map data base (MDB). The high resolution object appearances (HROA) are overlayed onto the low resolution image frames (LRI) received via the first data channel (CH1) and displayed at the train remote control console. Thus both safety relevant details and a general impression of the track section ahead are made available to a remote train driver at low bandwidth consumption of the mobile communication network.