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Alphaba Smart Bus and its
Autonomous Design Considerations
Speaker
Dr. Jun Steed Huang, got his PhD from https://en.wikipedia.org/wiki/Jeremiah_F._Hayes in 1993 under
Canadian International Development Agency program. He worked at Lockheed Martin, Bell Canada,
Nortel, Alcatel, Jiangsu University, Southern University of Science and Technology. He was Chief Scientist
for Alphaba bus, now works for the Trust CAV Program across Universities of Carleton, Waterloo, Queen’s,
Windsor and Ottawa.
Summary
Autonomous shared driving is an inevitable trend for the future. In order to ensure that these vehicles can
work safely, major manufacturers in the world have released their own safety and security systems. In this
talk we explain what we did for Alphaba smart bus with our own overall road safety and communication
security design considerations.
1:00-2:00pm, Saturday, May 29, 2021
Ottawa Autonomous Vehicle Group, CANADA
CBSF Project Description
2
China Bus System of the Future (CBSF) Initiative, autonomous public bus
project, is a central government level project directly led by Intelligent
Transport System China (ITSC) EV100, implemented by Shenzhen
Industrialization Incubation and Demonstration Base (Haylion), aims to
develop a complete intelligent eco energy public bus solution.
https://www.chinaev100.com/international
https://www.uitp.org/projects/ebsf/
3
European Standard
4
Japanese System
5
USA Regulation
6
NXP Box
7
Qualcomm C-V2X
8
USA Parts
9
Canadian Parts
China Core Segments
10
CTSF
HEBS
CBSF
中国新能源智能重卡系统(自动驾驶卡车)
China Truck System of the
Future
混合动力公交系统
Hybrid Electrical Bus System
中国下一代新能源智能公交系统(自动驾驶公交)
China Bus System of the Future
https://www.tusimple.com/
http://www.chinabuses.org/manufacturers/
http://www.haylion.cn/index_e.jsp
HayLion Co Ltd
11
ITSC has appointed HAYLION to be the Technology Development Enterprise Lead,
Shenzhen Public Bus Group to be the Autonomous Public Bus Operation and
Commercialization Base, and renowned companies like TianMai Technologies (Software),
AnKai Bus (Hardware), RoboSense (Lidar), etc. to be the suppliers of the CBSF initiative,
planning to launch trial operations in numerous areas like Shenzhen Southern University
of Science and Technology of China, Shenzhen University, Overseas Chinese Town East,
Futian Free Trade Zone, HongKong, Wuhan, Tibet, Singapore.
https://www.robosense.ai/en https://www.keolis.com/en
CBSF Overall Framework
12
Shenzhen Trial Base
Research &
Production
Testing &
Trial
Promotion &
Sales
Shenzhen, Wuhan, Guangzhou
Guizhou, Beijing, etc.
New
Energy
Artificial
Intelligent
Wireless
Charging
V2I/V2V
Infra
Structure
Internet
Based
Operation
Bus manufacturers, Technology Partners,
Public Bus Operators, Govt Dept, Universities,
etc
1 Main Core
3 Focus
Function
5 Key
Technologies
10 Cities
Numerous
Partners
C
B
S
F
13
GPS+Inertia
Navigation
Image Processing
based on Deep
Learning &
Heterogeneous
Computing
Image Processing
based on Persceptive
Re-construction &
Sequential Patterns
Analysis.
Radar signal
processing & Data
Correlation Filtering
Point Cloud Data
Processing based on
Unsupervised
Clustering Analysis
Multi-Sensor Input
Fusion based on
Multi-Mode
Spatiotemporal
Filtering &
Structured
Stochastic Decision
Theory
Internet
based V2X
Target
Parameters
• Type
• Timestamp
• Dimension
• Velocity
• Position
• Direction
• ……
Ethernet
Interface
UDP
Protocol
Raw Perceiption
Data
Modular
Inspection Data
Fused Target Data
Camera
3D-Cam
mm
Radar
LiDAR
Under complex driving environment, technologies to capture, inspect and track dynamic
targets Autonomously or Assisted, must be precise, accurate, robust and real-timed.
AlphaBus Technology Roadmap PCT Patent
Key Technologies
Environment Cognition
Environment Memory
Positioning
AI Autonomous Decision
Cooperative Control based on MPC
Precision Execution
Safety Lines Architecture
Mantis Eyes Architecture
Electric Eel Fish Architecture Target Perception
https://space.uitp.org/initiatives/alphaba-smart-bus-av-pilot-shenzhen-china
Bus Lane Label
Reverse Airbag Bumper
Air
Pump
17
Key Technology: Safety Lines Architecture
60 meters laser
someone
30 meters
radar
10 meters
visual
5 meters purple
2 meters ultrasound
90 meters
wireless
EPS
GPS
IMS
EBS
Fusion
Perceived
0.5 meter touch
Seven Solid Safety Lines
Monitor
learning in the
background
2
3
4
5
6
7
1
18
Key Technology: 7 Lines Architecture
19
Key Technology: Safety Lines Architecture
Action Message
Hands and foot brakes Half a meter touch someone
Maximum brake 2 meters ultrasound someone
Ordinary brakes 5 meters purple someone
Point brakes to remind 10 meters visual someone
Deceleration 50% 30 meters radar someone
Deceleration 25% 60 meters laser someone
Deceleration 12.5% 90 meters wireless someone
Cruise no case
20
Electric Hydraulic Power Steering
21
Ethernet on top of CANs
GPU CPU VCU
EBS ECU
EPS
22
Electronically Braking System
23
Highspeed Liquid Cooled Motor
24
7 Safety Lines Bus
25
Real Time LIDAR Algorithm
https://github.com/steedhuang/MEMS-LIDAR-Momenergy-Functor
https://www.mathworks.com/matlabcentral/fileexchange/79268-laser-imaging-detection-and-ranging-with-momenergy-functors
26
GPS Signed Encryption
27
7+1 Safety Lines Bus
https://cutric-crituc.org/
28
Bus for Senior
https://www.bruyere.org/en/blog/driving-automation?ly=25
Oversea Plan
• Japanese cabinet financial department deputy minister Takao
Ochi & SoftBank engineers visited Haylion demonstration base.
• Cooperating with NXP & ON Semiconductor to build our visual
system and control system.
• Scania invested Haylion as shareholder, focusing on
international business.
• Invited BYD to get into American market,
for promoting driverless bus.
Alphaba Smart Bus Autonomous Design

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Alphaba Smart Bus Autonomous Design

  • 1. Alphaba Smart Bus and its Autonomous Design Considerations Speaker Dr. Jun Steed Huang, got his PhD from https://en.wikipedia.org/wiki/Jeremiah_F._Hayes in 1993 under Canadian International Development Agency program. He worked at Lockheed Martin, Bell Canada, Nortel, Alcatel, Jiangsu University, Southern University of Science and Technology. He was Chief Scientist for Alphaba bus, now works for the Trust CAV Program across Universities of Carleton, Waterloo, Queen’s, Windsor and Ottawa. Summary Autonomous shared driving is an inevitable trend for the future. In order to ensure that these vehicles can work safely, major manufacturers in the world have released their own safety and security systems. In this talk we explain what we did for Alphaba smart bus with our own overall road safety and communication security design considerations. 1:00-2:00pm, Saturday, May 29, 2021 Ottawa Autonomous Vehicle Group, CANADA
  • 2. CBSF Project Description 2 China Bus System of the Future (CBSF) Initiative, autonomous public bus project, is a central government level project directly led by Intelligent Transport System China (ITSC) EV100, implemented by Shenzhen Industrialization Incubation and Demonstration Base (Haylion), aims to develop a complete intelligent eco energy public bus solution. https://www.chinaev100.com/international https://www.uitp.org/projects/ebsf/
  • 10. China Core Segments 10 CTSF HEBS CBSF 中国新能源智能重卡系统(自动驾驶卡车) China Truck System of the Future 混合动力公交系统 Hybrid Electrical Bus System 中国下一代新能源智能公交系统(自动驾驶公交) China Bus System of the Future https://www.tusimple.com/ http://www.chinabuses.org/manufacturers/ http://www.haylion.cn/index_e.jsp
  • 11. HayLion Co Ltd 11 ITSC has appointed HAYLION to be the Technology Development Enterprise Lead, Shenzhen Public Bus Group to be the Autonomous Public Bus Operation and Commercialization Base, and renowned companies like TianMai Technologies (Software), AnKai Bus (Hardware), RoboSense (Lidar), etc. to be the suppliers of the CBSF initiative, planning to launch trial operations in numerous areas like Shenzhen Southern University of Science and Technology of China, Shenzhen University, Overseas Chinese Town East, Futian Free Trade Zone, HongKong, Wuhan, Tibet, Singapore. https://www.robosense.ai/en https://www.keolis.com/en
  • 12. CBSF Overall Framework 12 Shenzhen Trial Base Research & Production Testing & Trial Promotion & Sales Shenzhen, Wuhan, Guangzhou Guizhou, Beijing, etc. New Energy Artificial Intelligent Wireless Charging V2I/V2V Infra Structure Internet Based Operation Bus manufacturers, Technology Partners, Public Bus Operators, Govt Dept, Universities, etc 1 Main Core 3 Focus Function 5 Key Technologies 10 Cities Numerous Partners C B S F
  • 13. 13 GPS+Inertia Navigation Image Processing based on Deep Learning & Heterogeneous Computing Image Processing based on Persceptive Re-construction & Sequential Patterns Analysis. Radar signal processing & Data Correlation Filtering Point Cloud Data Processing based on Unsupervised Clustering Analysis Multi-Sensor Input Fusion based on Multi-Mode Spatiotemporal Filtering & Structured Stochastic Decision Theory Internet based V2X Target Parameters • Type • Timestamp • Dimension • Velocity • Position • Direction • …… Ethernet Interface UDP Protocol Raw Perceiption Data Modular Inspection Data Fused Target Data Camera 3D-Cam mm Radar LiDAR Under complex driving environment, technologies to capture, inspect and track dynamic targets Autonomously or Assisted, must be precise, accurate, robust and real-timed. AlphaBus Technology Roadmap PCT Patent
  • 14. Key Technologies Environment Cognition Environment Memory Positioning AI Autonomous Decision Cooperative Control based on MPC Precision Execution Safety Lines Architecture Mantis Eyes Architecture Electric Eel Fish Architecture Target Perception https://space.uitp.org/initiatives/alphaba-smart-bus-av-pilot-shenzhen-china
  • 17. 17 Key Technology: Safety Lines Architecture 60 meters laser someone 30 meters radar 10 meters visual 5 meters purple 2 meters ultrasound 90 meters wireless EPS GPS IMS EBS Fusion Perceived 0.5 meter touch Seven Solid Safety Lines Monitor learning in the background 2 3 4 5 6 7 1
  • 18. 18 Key Technology: 7 Lines Architecture
  • 19. 19 Key Technology: Safety Lines Architecture Action Message Hands and foot brakes Half a meter touch someone Maximum brake 2 meters ultrasound someone Ordinary brakes 5 meters purple someone Point brakes to remind 10 meters visual someone Deceleration 50% 30 meters radar someone Deceleration 25% 60 meters laser someone Deceleration 12.5% 90 meters wireless someone Cruise no case
  • 21. 21 Ethernet on top of CANs GPU CPU VCU EBS ECU EPS
  • 25. 25 Real Time LIDAR Algorithm https://github.com/steedhuang/MEMS-LIDAR-Momenergy-Functor https://www.mathworks.com/matlabcentral/fileexchange/79268-laser-imaging-detection-and-ranging-with-momenergy-functors
  • 27. 27 7+1 Safety Lines Bus https://cutric-crituc.org/
  • 29. Oversea Plan • Japanese cabinet financial department deputy minister Takao Ochi & SoftBank engineers visited Haylion demonstration base. • Cooperating with NXP & ON Semiconductor to build our visual system and control system. • Scania invested Haylion as shareholder, focusing on international business. • Invited BYD to get into American market, for promoting driverless bus.