Detection of Autonomous Shuttles in Urban Traffic Images Using Adaptive Residual Context

ArXi:2603.15404v1 Announce Type: cross The progressive automation of transport promises to enhance safety and sustainability through shared mobility. Like other vehicles and road users, and even so for such a new technology, it requires monitoring to understand how it interacts in traffic and to evaluate its safety. This can be done with fixed cameras and video object detection. However, the addition of new detection targets generally requires a fine-tuning approach for regular detection methods.