Solving Perception Challenges for Autonomous Vehicles Using SGD
| 项目名称： | Solving Perception Challenges for Autonomous Vehicles Using SGD |
| 摘要： | All levels of autonomy in vehicles faces a critical problem due to the fragility and lack of robustness of state of the art image classifiers to perturbations in the input image. Specifically, it has been repeatedly shown that classifiers that enjoy extremely high accuracy on test sets and challenge sets, are remarkably susceptible to misclassifying images that have small, but planted, perturbations. Stop signs can be misclassified as yield signs, with modifications that are imperceptible to the casual human observer. |
| 状态： | Active |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Bhat, Chandra R |
| 执行机构： | Data-Supported Transportation Operations and Planning Center |
| 主要研究人员： | Caramanis, Constantine |
| 开始时间： | 20180901 |
| 预计完成日期： | 20200831 |
| 实际结束时间： | 0 |
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