Sravan Kumar Janagam
Real-Time Latency Mitigation for SAE Level 4 Remote Driving Using Predictive Image Transformation and Vehicle State Estimation.
Rel. Angelo Bonfitto, Shailesh Sudhakara Hegde. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2025
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Abstract
Remote operations have received a lot of attention in recent years. In SAE level 4, autonomous vehicles are able to operate in predefined situations without human intervention. However, they still has limitations in complex scenarios like construction zones, different weather conditions and poorly mapped areas. In such case, human driver intervention is necessary for safe operation. Teleoperation is a potential alternative for remotely operating vehicles when autonomous vehicles require a human hand. Teleoperation makes the transition to full autonomy smoother and safer (SAE Level 5). Teleoperation has inevitable latency due to the communication systems, which can degrade the driving performance, increase cognitive load on remote driver.
There are delays in the system while transmitting driver commands to vehicle and in receiving feedback, like video, vehicle states
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