The safety of autonomous vehicles (AVs) depends on their ability to perform complex
computations on high-volume sensor data in a timely manner. Their ability to run these …

Abstract The Intelligent and Connected Vehicle Cloud Control System is a critical approach
for achieving high-level autonomous driving. One of the key challenges at the perception …

Visual object tracking is essential to intelligent robots. Most existing approaches have
ignored the online latency that can cause severe performance degradation during real-world …

Real-time efficient perception is critical for autonomous navigation and city scale sensing.
Orthogonal to architectural improvements, streaming perception approaches have exploited …

Streaming perception is a crucial task in the field of autonomous driving, which aims to
eliminate the inconsistency between the perception results and the real environment due to …

With the growing demand for video analysis on mobile devices, object tracking has
demonstrated to be a suitable assistance to object detection under the Tracking-By …

Autonomous driving systems demand real-time, accurate perception to navigate complex
environments. Addressing this, we introduce the Dynamic Router Network (DyRoNet), a …

This paper investigates the challenges posed by delays in Closed-Loop Sense-Act Systems
in the context of Adversarial Internet of Things (IoT) applications. Prior work focused on …

The advancement of autonomous driving systems hinges on the ability to achieve low-
latency and high-accuracy perception. To address this critical need, this paper introduces …

Abstract Autonomous Vehicles (AVs) have the potential to revolutionize transportation
through their significant safety, environmental and mobility benefits. However, despite their …