Xuankeng He
Papers
1
Total Citations
2
H-Index
1
About
Xuankeng He is a researcher specializing in real-time systems, autonomous driving software, and robotics middleware, with a particular focus on deadline-aware performance in ROS 2 applications. His most-cited work, "TILDE: Topic-Tracking Infrastructure for Dynamic Message Latency and Deadline Evaluator for ROS 2 Application" (2023), addresses a critical challenge in autonomous driving: detecting and preventing deadline misses that can compromise vehicle safety. He developed a dynamic message tracking system that enables real-time monitoring of message latency and execution deadlines, providing a practical framework for ensuring timely processing in safety-critical environments. This contribution is especially valuable as autonomous systems increasingly rely on ROS 2 for distributed, real-time communication. While his citation count is still growing, He’s work represents an important step toward reliable, real-time performance validation in autonomous-driving software. His research sits at the intersection of embedded systems, real-time computing, and robotics, offering tools that help developers identify and mitigate timing failures before they lead to system hazards. For students and researchers entering the field of autonomous systems, He’s work provides a clear example of how deadline-aware infrastructure can bridge the gap between theoretical real-time guarantees and practical deployment challenges.
Research Focus
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Top Papers
- 1