AutoCAS

AutoCAS (Autonomous Mobility CAS)
Autonomous Mobility Circuits and Systems Workshop (AutoCAS 2022)

Nowadays, autonomous mobility circuits and systems (AutoCAS) have been attracting much attention because of the rapid development of electronic systems-based autonomous vehicles. They are not only used in controlling the engine but also have emerged in the areas of safety, driving assistance, and communications. Autonomous vehicle needs highly reliable circuits and systems for artificial intelligence (AI), sensing, signal processing, and V2X, etc.
Additionally, future electronic systems are moving towards making vehicles that are possible to configure the behaviors by using software easily. Circuits and systems design for autonomous mobility is an area of high investment for semiconductor companies targeting high revenue and growth potential. Our CAS society needs to increase opportunities for our members to communicate/collaborate with researchers/engineers in emerging autonomous mobility CAS directions and contribute to technological innovation and excellence.

Therefore, this workshop aims at announcing the contributions in solving the CAS-based problems for the autonomous mobility components, such as memory, sensors, ECU and deep neural network (DNN), processor, etc. Through this workshop, the researchers are able to obtain the benefit from these innovative techniques. By learning about the advantages and disadvantages of state-of-the-art methods. They can further innovate and enhance their circuits and systems for highly demanding vehicles in five to ten years. The workshop will consist of one plenary track with 6 ~ 7 invited speakers from industry and academia.

AutoCAS attendees will not be charged with any extra fee if they are IEEE CAS society members.

For registration, please contact the Conference Secretariat.
(Email : aicas2022.conf@gmail.com)

 

AutoCAS 2022 Program Schedule
Time Title Presenters
09:00 Registration  
09:30 Opening  
09:45 – 10:30 Embedded Artificial Intelligence Technology for ADAS/ADS Applications Prof. Jiun-In Guo (NYCU)
10:30 – 11:00 Circuits and Systems design for Autonomous Mobility  NA
11:30 – 12:00 Memory for Autonomous Mobility (Samsung)
12:30 – 13:30 Lunch  
13:30 – 14:00 AI processor NA
14:00 – 14:30 CMOS Single-photon Avalanche Diodes for Vehicle LiDAR Prof. Sheng-Di Lin (NYCU)
14:30 – 15:00 V2X for Autonomous Mobility NA
15:00 – 15:15 Coffee Break  
15:15 – 15:45 Future Smart Mobility NA
15:45 – 16:15 Cyber Security for Autonomous Mobility NA
16:15 – 16:45 Functional Safety for Road Vehicle – Radiation Effects on SoC NA
16:45 – 17:00 Farewell

 

AutoCAS 2022 Invited Speakers
Embedded Artificial Intelligence Technology for ADAS/ADS Applications

Prof. Jiun-In Guo
National Yang Ming Chiao Tung University, Taiwan

Biography Abstract

CMOS Single-photon Avalanche Diodes for Vehicle LiDAR

Prof. Sheng-Di Lin
National Yang Ming Chiao Tung University, Taiwan

Biography Abstract

 

AutoCAS 2022 Organizing Committee
General Chair
Hanho Lee
Inha University, Korea
hhlee@inha.ac.kr
Technical Program Chair
Kyung Ki Kim
Daegu University, Korea
kkkim@daegu.ac.kr