Advanced Machine Vision Systems for Trams: A Step Toward Autonomous Transportation

In the German city of Chemnitz, a new machine vision system is being tested on a modernized Tatra T3D-M tram, this is reported by the railway transport news portal Railway Supply.

This experiment aims to assess the accuracy of various system functionalities, such as determining the exact location of the vehicle, detecting obstacles in its path, recognizing traffic light signals, and monitoring track switch positions.

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Additionally, data is being collected to further enhance the technology.

The system was developed as part of the SmarTram research project, launched by the local transport operator CVAG in 2022.

The project’s goal is to prepare for the transition to autonomous tram operations.

This project is not unique—similar developments are underway in various countries worldwide aiming to implement autonomous public transport.

Particular attention is given to accumulating and analyzing information to optimize and improve the system.

Testing in real-world conditions will help identify potential shortcomings and make necessary adjustments.

In the future, this could lead to significant improvements in safety and efficiency for urban transportation.

Photo: Siemens Mobility

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