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琼森学校研究员映射路径自动驾驶
教授接受职业奖汽车通信工程

If the future of driving steers toward widespread automation, cars will need to communicate with each other and respond to the changing environment in milliseconds. But how will it work?

博士。羊祜, assistant professor of electrical engineering at 德克萨斯大学达拉斯分校, has received a five-year, $500,000 grant from the National Science Foundation (NSF) to develop new hardware and software to handle the complexity of an automated driving ecosystem in which cars communicate both with other cars and with roadside information nodes.

胡锦涛,谁加盟 埃里克·琼森工程和计算机科学学院 (ECS) in 2017 after completing his PhD at the University of Florida, earned the NSF Faculty Early Career Development (CAREER) Award for his project, “反思的自主驾驶的基础设施架构和系统“。

博士。羊祜, assistant professor of electrical engineering in the 埃里克·琼森工程和计算机科学学院, is driven to develop computer support for autonomous driving.

“We knew we were getting an excellent faculty member when we enticed Dr. Hu here in 2017,” said 博士。劳伦斯overzet,部门负责人 电气和计算机工程 in ECS. “He had already received the first of two best paper nominations at HPCA [High-Performance Computer Architecture] — one of the top computer architecture conferences — and was engaged in some highly interesting research on server system architectures and networking infrastructures applied to data centers. His new 研究 direction builds upon that prior experience and focuses it on even more important applications“。

Hu started exploring computing support for autonomous driving after arriving at UT Dallas. He believes the technology will become “essential to our everyday lives“。

“This project aims to rethink how to design and build computer hardware and software for future 5G-enabled self-driving cars,” he said. “If successful, my 研究 will make fully autonomous driving practical“。

Hu explained that the complex demands on any autonomous driving system have thus far prevented implementation due to two primary critical technological limitations.

关于职业生涯奖项

The Faculty Early Career Development Program supports early-career faculty who exemplify the role of teacher-scholars through outstanding 研究 and excellent education. The highly selective program is the National Science Foundation’s most prestigious award for early-career faculty who are considered likely to become leaders in their fields.

“First, there isn’t an established design for the low-level hardware and software under such extreme safety demands — in other words, we don’t have the resolution to design high-speed, low-cost, low-power consumption hardware and software for self-driving cars,” he said. “Second, self-driving cars need to make decisions based on two sources of data — information gathered in the immediate surroundings and info from beyond that. To make use of information from multiple sources, we need more efficient coordination of communication between diverse computation parts“。

Hu said the different layers of information that cars would use in the automated system he envisions would improve the safety of the implementation.

“Traditional autonomous vehicles rely on car-carried sensors, cameras and radars to detect surrounding objects,” he said. “A connected autonomous driving system allows vehicles to communicate with each other and with roadside infrastructures by integrating wireless communication technology on cars“。

For example, in Hu’s model, a car could tap into roadside information nodes to discover road hazards and traffic delays that are miles away and make decisions proactively, whereas the traditional model only gathers this information when the vehicle is within sensing range of the hazard.

“This project aims to rethink how to design and build computer hardware and software for future 5G-enabled self-driving cars. If successful, my 研究 will make fully autonomous driving practical“。

博士。羊祜, assistant professor of electrical engineering in the 埃里克·琼森工程和计算机科学学院

“Current hardware and software platforms to support such techniques are very inflexible,” Hu said. “Our project will develop a uniform computing platform so that communication and computation functions can flexibly deploy in both the roadside and car-side computers“。

The 研究 that led to this grant was conducted primarily by Hu and four 电气和计算机工程 doctoral students: Zhendong Wang, Xiaoming Zeng, Jianda Wang and Zhen Wang.

“I am fortunate to work with such talented PhD students at UT Dallas, and I look forward to continuing this 研究 with them to conquer these challenges and unexplored problems,” Hu said.

媒体联系方式: 媒体关系办公室,达拉斯德州,(972)883-2155, [电子邮件保护].