BoundaryPredictor: Imitating Cost-Minimized Trajectory Sampling for Autonomous Drone Racing; Policy Recommendations for Mitigating the Risks of Autonomous Vehicles
Year: 2025
Type: dissertation
Abstract: The technical aspect to this research focuses on the benefits of autonomous navigation through safety and assurance, while the STS aspect to the research focuses on policy recommendations to minimize any risk. The technical aspect uses a specific loss function when mimicking an expert dataset to push error towards safety. The STS aspect uses a past, present, future approach to both predict the impact of AV technology on society and how to preemptively address it.
Source: Libra
DOI: 10.18130/ep3v-0a06
Author: Shreepa Parthaje
Institution: University of Virginia
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6887928957
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