The project seems fancy in lab settings. However, the proposed 1 to 2 km obstacle detection using cameras and radar is hindered by NLOS issues, weather related limitations of optical sensors, and radar difficulty distinguishing complex objects over long distances. The reliance on cameras for track defect detection raises concerns about scalability, especially for a 1,700 km network, as it requires high resolution imaging, extensive data analysis, and consistent power supply.
![Chris Langan - The Interview THEY Didn't Want You To See - CTMU [Full Version; Timestamps]](/img/n.gif)
That is awesome, Dr Hammad and team!
The project seems fancy in lab settings. However, the proposed 1 to 2 km obstacle detection using cameras and radar is hindered by NLOS issues, weather related limitations of optical sensors, and radar difficulty distinguishing complex objects over long distances. The reliance on cameras for track defect detection raises concerns about scalability, especially for a 1,700 km network, as it requires high resolution imaging, extensive data analysis, and consistent power supply.