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The growing interest in autonomous driving calls for realistic simulation platforms capable of accurately simulating cooperative perception process in realistic traffic scenarios. Existing studies for cooperative perception often have not accounted for transmission latency and errors in real-world environments. To address this gap, we introduce EI-Drive (Edge Intelligent Drive), an Edge-AI based autonomous driving simulation platform that integrates advanced cooperative perception with more realistic communication models. Built on the CARLA framework, EI-Drive features new modules for cooperative perception while taking into account transmission latency and errors, providing a more realistic platform for evaluating cooperative perception algorithms. In particular, the platform enables vehicles to fuse data from multiple sources, improving situational awareness and safety in complex environments. With its modular design, EI-Drive allows for detailed exploration of sensing, perception, planning, and control in various cooperative driving scenarios. Experiments using EI-Drive demonstrate significant improvements in vehicle safety and performance, particularly in scenarios with complex traffic flow and network conditions. All code and documents are accessible on our GitHub page: \url{https://ucd-dare.github.io/eidrive.github.io/}.
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Promoting Equity and Inclusion in STEM Curriculum Design.
We describe a principled approach to designing STEM curricular activities that puts equity and inclusion (EI) at the forefront of the design process from its instantiation to its development. We illustrate this process using insights from designing a curriculum unit aligned with the US Next Generation Science Standards (NGSS) and an EI framework focused on supporting student engagement and use of language. The process identifies helpful ways to articulate design guidance for instructional designers.
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- Award ID(s):
- 1742195
- PAR ID:
- 10184089
- Date Published:
- Journal Name:
- In M. Gresalfi & I.S. Horn (Eds.). The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020
- Volume:
- 3
- Page Range / eLocation ID:
- 1747-1748
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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