Drone delivery is swiftly on the rise. Different from most prior efforts centered on the last-mile problem where the drone flies from the source to the destination house but overlooks the landing part [1, 2]. In our full paper [3], we make the first ...

With the rapid advancement of mobile hardware, smart-phones are now capable of capturing and playing videos in 4K and even 8K resolution, improving immersive and enjoyable viewing experience for users. However, storing these ultra-high-resolution videos ...

Background and motivation. The localization and tracking of high-speed dynamic objects find applications across various domains. For example, tracking unmanned aerial vehicles (UAVs) serves a crucial role for regulatory authorities, enabling the swift ...

This poster is based on the accepted submission to HotMobile2024: Creating Edge AI from Cloud-based LLMs.

We present a new on-device pipeline that efficiently summarizes lecture videos and provides relevant answers directly from a smartphone. We utilize widely accessible tools like OCR and Vosk speech-to-text, coupled with powerful large language models (...

Unforeseen gas leaks can swiftly create a highly flammable atmosphere, which will lead to risks of explosions, health hazards, as well as long-term environmental impacts, especially when the gas is toxic. Hence, localizing the gas source as soon as ...

Recent developments in Large Language Models (LLMs) have demonstrated their remarkable capabilities across a range of tasks. Questions, however, persist about the nature of LLMs and their potential to integrate common-sense human knowledge when ...

In this work, we present our attempt to tackle the last-hundred-feet problem for autonomous drone delivery. We take a computer-vision-based approach to progressively landing towards a convenient and safe drop-off point at all times (here, at the front/...

Cyber-human and cyber-physical systems have tight end-to-end latency bounds, typically on the order of a few tens of milliseconds. In contrast, cloud-based large-language models (LLMs) have end-to-end latencies that are two to three orders of magnitude ...

Accurate metric depth can help achieve more realistic user interactions such as object placement and occlusion detection in mobile augmented reality (AR). However, it can be challenging to obtain metricly accurate depth estimation in practice. We tested ...