Sign in | Register to save a seat

Robust Perception under Adverse Weather and Lighting Conditions

  • 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
Watch On-Demand | AutoSensONLINE 2021

An AutoSensONLINE 2021 ticket is required to watch this video On Demand.

Please login below with the email used at the time of your registration.


Your personal data will be used to support your experience throughout this website, to manage access to your account, and for other purposes described in our privacy policy. Sense Media, on behalf of AutoSens, needs the contact information you provide to us to update you with information about AutoSens and our products. You may unsubscribe from these communications at anytime. For information on how to unsubscribe, as well as our privacy practices and commitment to protecting your privacy, check out our privacy policy.