In a newly released audio course, Baidu founder Li Yanhong outlines how China could become the first country to commercialize large‑scale L4‑L5 autonomous driving, emphasizing vehicle‑road collaboration, AI‑enabled traffic control, and the broader impact on intelligent cities and society.
In his new audio course '7 Lectures on Intelligent Transportation,' Baidu founder Robin Li outlines the shift from autonomous driving to a broader intelligent‑transportation ecosystem—highlighting vehicle‑road collaboration, China’s booming market, Baidu’s Apollo testing and city‑wide deployments, and the vision of smart vehicles, roads, cities and society.
Chief Scientist Tang Jian explains how Didi leverages next‑generation AI—big‑data, hybrid‑augmented, autonomous, and collective intelligence—to transform smart mobility through advanced dispatch, safety systems, in‑car perception, traffic‑signal optimization, and global collaborations, while confronting challenges of model scale, computing power, and safety assurance.
At ACM SIGIR 2018, Didi presented AI‑driven intelligent‑transportation research—including a ride‑sharing preference prediction paper, keynote insights on smart dispatch, maps and traffic, collaborations with over twenty cities and numerous universities, open data initiatives, and plans for new thematic research programs.
The 2017 12th China Intelligent Transportation Conference highlighted system thinking, AI, and innovation as key drivers for smarter city traffic, outlining a three‑step top‑level design, AI‑powered applications, and intersection innovations that together promise safer, more efficient, and fully automated urban mobility.
