Robust Perception under Adverse Weather and Lighting Conditions

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Event: AutoSens Online

| Published: November 2021

Existing visual perception methods scale badly to adverse weather and lighting conditions
Weather phenomenon simulation and image translation can generate effective training data for adverse conditions ?Other domain adaptation techniques such as domain flow and self-training can also increase the robustness of perception methods
New benchmarks with real-world data, such as our ACDC dataset, are strongly needed for method training and evaluation
Other robust sensors such as Radar and Microphones should be leveraged