Ideal Automobile Intelligent Driving Technology Data

Summary of Ideal Car’s Intelligent Driving Related Information

Ideal Car’s L9 will be released in three days, and more information about intelligent driving will be made public. Taking this opportunity, let’s summarize the information about Ideal Car’s intelligent driving, including autonomous driving algorithms, electrical and electronic architecture, in-car operating system, and human-machine co-driving.

I. Ideal Car’s Intelligent Driving Related Executives

  1. Vice President of Intelligent Driving: Lang Xianpeng
  2. Head of Intelligent Driving AI Algorithm and AI Chief Scientist: Wang Yilun
  3. Vice President of Product: Fan Haoyu
  4. Vice President of Computing Platform & Operating System: Xu Yingchun

Their relevant speech materials will be available later.

II. Ideal L9’s Intelligent Driving Configuration

  1. Vision: Forward 8 million * 2 + Surround view 8 million * 4 + Rear view 2 million * 1 + 360 panoramic camera * 4
  2. Radar: Forward Lidar * 1 + Forward Millimeter Wave Radar * 1 + Ultrasonic Radar * 12
  3. Computing Platform: NVIDIA Orin-X * 2
  4. Exterior Intelligent Driving Auxiliary Light * 5

It can be seen from the intelligent driving sensor configuration of Ideal L9 that a visual-based intelligent driving algorithm solution will undoubtedly be adopted.

III. Yilun Wang: Ideal Car’s Choice and Practice of Intelligent Driving

In 2021, Yilun Wang, the head of AI at Ideal Car, explained their self-developed full-stack autonomous driving algorithm (link to website: https://www.bilibili.com/video/BV1bR4y1F7Pf)

IV. Relevant Intelligent Driving Algorithm Materials in Yilun Wang’s Speech

  1. 3D DETR: Pure Vision Target Detection under BEV (link to website: https://zhuanlan.zhihu.com/p/499795161)
  2. HDMapNet: Dynamic Construction of High Precision Semantic Map (link to website: https://zhuanlan.zhihu.com/p/447145384))3. Motion Prediction in Autonomous Driving (Part 1) – VectorNet (URL link: https://zhuanlan.zhihu.com/p/426510229)
  3. Motion Prediction in Autonomous Driving (Part 2) – TNT and DenseTNT (URL link: https://zhuanlan.zhihu.com/p/435953928)

The above are related research articles published by the MARS Lab of the Institute for Interdisciplinary Information Sciences of Tsinghua University on their official Zhihu account.

Assistant Professor of the Institute for Interdisciplinary Information Sciences of Tsinghua University, Xing Zhao: Vision-Centered Autonomous Driving – BEV Perception (URL link: https://www.bilibili.com/video/BV16u411q7Au)

In this video, Professor Xing Zhao of the MARS Lab of the Institute for Interdisciplinary Information Sciences of Tsinghua University personally explains the content in detail.

  1. Hanergy Vice President Fan Haoyu: Thoughts and Practice on Ideal Auto in the era of “Man-Vehicle Joint Driving” (URL link: https://www.bilibili.com/video/BV18L411u7qX)

  2. Lang Xianpeng: Ideal Auto’s Practice and Thinking on Intelligent Driving (URL link: https://www.bilibili.com/video/BV1QS4y167jX)

  3. Xu Yingchun: High Computing Power Platform Layout for Intelligent VehiclesIdeal Automotive Xu Yingchun: Ideal LEEA 2.0 will be released next year, and LEEA 3.0 will be released the year after next – Gasgoo Automotive News (website link: https://auto.gasgoo.com/news/202106/29I70261718C111.shtml)

Ideal Automotive: Intelligent automotive high-performance computing platform layout (website link: https://mp.weixin.qq.com/s/69xATf875bLl0hy1y959bg)

Link to the original speech PPT: https://pan.baidu.com/s/1qk7OQP1JJeGzP2tYAq1_Pg?pwd=tksc

This article is a translation by ChatGPT of a Chinese report from 42HOW. If you have any questions about it, please email bd@42how.com.