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AI and It's Application in Intelligent Connected Vehicle
同济大学汽车学院School of Automotive Studies, Tongji University
122June 26, 2018© 2015 The MathWorks, Inc.
AI and It's Application in Intelligent Connected VehicleHui CHEN
AI and It's Application in Intelligent Connected Vehicle
Introduction of AI and ICV
Government Policies and Projects
Recent R&D Activities
Summary
同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
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June 26, 2018
1 Introduction of AI and ICV
1 : Introduction of AI and ICV
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June 26, 2018
同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
AI ICV
What’s Artificial Intelligence (AI)[1]
Intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.
“General AI”“Narrow AI”• Works in different individual
domains;• Not capable of experiencing
consciousness
[1]https://en.wikipedia.org/wiki/Artificial_intelligence
• Perform any intellectual task that a human being can;
• Capable of experiencing consciousness
Why AI brings so much attention ?
1 : Introduction of AI and ICV
AI and It's Application in Intelligent Connected Vehicle 422
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同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
AI ICV
[1] https://en.wikipedia.org/wiki/Artificial_intelligence[2] https://en.wikipedia.org/wiki/Supervised_learning[3] https://en.wikipedia.org/wiki/Unsupervised_learning[4] https://en.wikipedia.org/wiki/Reinforcement_learning
Artificial Intelligence
Expert Systems Fuzzy Logic and Rough Set Heuristic Search …
Machine LearningSupervised Learning[2]
Unsupervised Learning[3]
Reinforcement Learning[4]
Deep learning
CNN RNN …
Learning a function that maps an input to an output based on
example input-output pairs
Inferring a function to describe hidden structure from
"unlabeled" data
Concerned with how to take actions in an environment
to maximize the cumulative reward
Use a cascade of multiple layers of nonlinear
processing units for feature extraction &
transformation
Study and construction of algorithms that can learn from and make predictions on data
What’s Artificial Intelligence (AI)[1] Why AI brings so much attention ?
1 : Introduction of AI and ICV
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同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
AI ICV
The relationship of AV、CV and ICV
ü Using vehicle sensorsü infrastructure-independent automatic driving
ü Communicating with nearby vehicles and roadside facilities
ü Infrastructure/traffic-dependent automatic driving
• Connected vehicle (CV)
ü Using vehicle sensors ü Communicating with surroundingsü Infrastructure/traffic-aided automatic drivingü Safe, efficient, comfortable, energy-saving,
ultimately autonomous
• Intelligent connected vehicle (ICV)
What’s intelligent connected vehicle (ICV) [1]?
[1]李克强, 戴一凡, 李升波,等. 智能网联汽车(ICV)技术的 发展现状及趋势[J]. 汽车安全与节能学报, 2017, 8(1):1-14.
• Autonomous vehicle (AV)
Why ICV is an inevitable trend?
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2 : Government Policies and Projects
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
• Americaü Led by enterprise. Google, Facebook, Microsoft have
increased investment in the research of AI;ü Valued by government, to ensure the leading position
in the field of AI;ü Good at standards making, leading the development
of global AV.
• Europeü Academic institutions in Britain have
made outstanding achievement on AI;ü The motor producer over Europe will
help to the realization of the internationalization of future traffic.
• Japanü The Japanese government and automobile
companies are cautious about automated-driving vehicles, and slow to develop technical standards;
ü Japan is focusing on making automated driving vehicles popular as soon as possible.
• Chinaü China still has a relatively short board in the basic
theoretical research of AI, key common technologies, basic platforms, and talent teams;
ü the government has repeatedly stressed on the establishment of a new generation of AI basic theoretical system and key common technology system.
Features of AI/ICV Policies of Different Areas
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Algorithm
Machine Learning AlgorithmØ Regression, Decision tree, SVM
Deep Neural NetworkØ Image Recognition:CNNØ Machine Translation:RNN,LSTM
Reinforcement LearningØ Model is known: Dynamic programmingØ Model is unknown: Value function, Policy search
2012Hinton,AlexNet2016Kaiming He,ResNet
2016AlphaGo2017AlphaGo Zero
Development Community
• GitHub
• Apollo by Baidu
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
AI Chips• Development of chip design technology
• Examples of hardware solutions for automated driving
Drive PX Xavier NVIDIA Drive-AI CAR PLATFORM
ü Brings the cost and power consumption characteristics of machine learning-related parallel processing to an acceptable level;
ü Making it possible to use large amounts of data to train deep neural networks.
ü NVIDIA Drive PX Xavier
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AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Big data• Features of big data:
Ø VolumeØ VelocityØ Variety
• Big Data Industry:Ø America has advantages in information and software/hardware technology;Ø Europe, Japan and Australia focus on the fundamental research;Ø China is still in a primary stage, but market grows rapidly.
Data Collection Data Storage Data Analysis Data Application
Big Data Industry Chain
Web Spider
Internet of Things (IoT)
Big
Dat
a Te
chno
logy
Distributed File System
Quantum Computer
Machine Learning
Deep Learning
Data Visualization
Text Visualization
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Network Information Security
• AI-based information security solution example
ü Wide variety of loT devices with no unified operating system makes it impossible to develop specialized security software for each type of device
ü Limited computing capacity of IoT device terminals makes it impossible to apply general-purpose systems with powerful functions
ü Internet of Things devices are connected in a variety of ways
Traditional security solutions may not be competent in IoT security
ü The MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and the company PatternEx have jointly developed an artificial intelligence-based cybersecurity platform AI2 that can accurately predict, detect, and block 85% of network attacks.
• Network virus attacks spreading from IT to Internet of Things (IoT)
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Environment Perception
ü processing data from multiple sensorsü Perceiving & understanding the surroundingsü obtaining key information related to automatic
driving tasks from the surroundings
Intelligent connected vehicle(ICV)
ü Environment perceptionü Decision makingü Motion planningü Motion control
• The function of environment perception
• The general architecture of ICV
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Environment Perception
Traditional vision algorithms
DNN-based vision algorithms
Feature extraction Manually Self-learning
Accuracy Usually with an upper limit
Inclined to get more accurateresults with more data
Robustness Robust under simpler scenarios
Inclined to get more robust results under complex scenarios
ü Using video information captured by a camera as input to a trained Convolutional Neural Network
ü Multi-target detection and classification results can be obtained
[1]余贵珍,深度学习在自动驾驶环境感知中的应用,2016.
• Comparison of these two types of algorithms
• DNN-based solution example in target perception[1]
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
ü Assess the environmental informationü Determine the goal of safety decisionü Local path planning for vehicle movement
ü Posing autonomous driving as a supervised learning problem is difficult due to strong interactions with the environment
ü Valeo proposed a framework for autonomous driving using deep reinforcement learning
ü The vehicle learned autonomous maneuvering in a scenario of complex road curvatures and interaction of other vehicles
• AI-based solution example in decision & planning[1]
Decision & Planning
More intelligent learning from situation-action interactions
• The function of decision and planning
[1] Sallab A E L, Abdou M, Perot E, et al. Deep reinforcement learning framework for autonomous driving[J]. Electronic Imaging, 2017, 2017(19): 70-76.
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
ü Calculate the steering and speed control commands for vehicle, based on the results of local path planning
• AI-based solution example in motion control[1]
ü Nvidia trained a CNN to map raw pixels from a single front-facing camera directly to steering commands
Motion Control• The function of motion control
Training the neural network
[1] Bojarski M, Del Testa D, Dworakowski D, et al. End to end learning for self-driving cars[J]. arXiv preprint arXiv:1604.07316, 2016.
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Human-Machine Interaction• Definition
The kind of language used to accomplish information exchange tasks between human and machine.
• Traditional HMI:Interface Design • HMI of ICV: Perception Intelligence + Cognition Intelligence
BMW I Drive
Media:Screen and buttonsFunction:Vehicle state information, communication, entertainment, navigation, safety function.
Baidu DeepSpeechGoogle Tacotron
Megvii MegBrain Ford ECG
Voice :front-end processing, voice recognition, speech synthesis, speaker distinguishing.Vision:face recognition, gesture recognition, driver state perception, object detection.Tactility: force/torque, movement, temperature.Bioinformation:physiological index like blood pressure, heart rate and galvanic skin response.
Deep neural network& end-to-end system
152 layers, ResNet Driver mental work load index definition
Ø Higher reliability and ensured safety of ICV;Ø More excellent practicability and user experience;
Ø Improved maneuverability and flexibility;Ø Assistance to help perform driving tasks better.
• Function
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Experiment and Testing
• Hardware Test • Software Test
Simulation
Closed-Course
Real-WorldDriving
FunctionalSafety
• Base Vehicle Test
ReliabilityandDurability
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Service for Travel• Intelligent order assignment
• Intelligent Traffic Light
• Autonomous Parking System
Only consider the distance from driver to passenger
Consider the arrival time based on route planning and evaluation of driver’s service
Consider the supply and demand over the area and optimize the matching
Traffic light interval is fixed
Interval is dynamically adjusted according to nearby traffic
Difficult for parking
Automatically complete parking
The product has been push out in Marvel X
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Local path planning
A stereogram of an obstacle’s potential field A stereogram of the potential field representing a road with two lanes
The contour map of the corresponding potential field
Desired Acceleration Generation
Environment Info (Road&Obstacles)
Vehicle State Info
Local Path Planning
Low-level Control
Behavior Decision
Vehicle State
Environmental Perception
Target Lane
PF Model
Road PF Model
Obstacle PF Model
Lateral Planning
Desired Steering Wheel Angle Generation
Longitudinal Planning
Local Path Planning Algorithm Diagram
Heuristic Search
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Validation scenarios::Local path planning
Papers::1. "A Potential Field
Based Lateral Planning Method for Autonomous Vehicles", SAE Int.J.Passeng.Cars–Electron. Electr. Syst.10(1):2017.
2. "Longitudinal Planning and Control Method for Autonomous Vehicles Based on A New Potential Field Model", SAE Technical Paper 2017-01-1955, 2017.
Patents:1. 一种统一的自动驾
驶横向规划方法与系统(申请号:201610822955.4).
2. 一种自动驾驶纵向统一规划方法及系统(申请号:201710811802.4).
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3 : Recent R&D Activities
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
Up & Down stream Application in ICV Progress of CEC
Environment Perception
Planning & Tracking
HIL Test
Co-Simulation
Method
Ø Learn from parking experience to Improve algorithm efficiency
Ø Uniform framework fordifferent scenarios
Feature
Automatic Parking: AI-based Method
Perception AI-basedAlgorithm
relative posture
historical information
v
δ
• paper ü Z. Fan, H. Chen. (2016), Study on Path Following Control Method for Automatic
Parking System Based on LQR.ü M. Fan, Z. Hu, K. Hamada, H. Chen. (2014), Line Filter Based Parking Slot Detection for
Intelligent Parking Assistance Systemü Kunpeng Cheng, Ye Zhang, Hui Chen. (2013), Planning and Control for a Fully-automatic
Parallel Parking Assist System in Narrow Parking Spaces.• Patentü 201210429726.8, 201310545995.5, 201410557306.7
Automatic Parking : Traditional Method
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4 : Summary
AI and It's Application in Intelligent Connected Vehicle同济大学汽车学院School of Automotive Studies, Tongji University Hui CHEN
June 26, 2018
In the era of big data, with the development of computing chips, algorithms, and the increased market demands, AI ushered in a golden period of rapid development
As a key enabling technology, AI is gaining more and more government investment and policy supports, and will profoundly influence the international competitions in industrial s and nations
As the strategic commanding point for the development of the global automotive industry, intelligent connected vehicles have huge market prospects and will become an important area for application of AI
AI and It's Application in Intelligent Connected Vehicle
同济大学汽车学院School of Automotive Studies, Tongji University
2222June 26, 2018
Thank you for your attention!
Hui CHENSchool of Automotive Studies Tongji University, Shanghai, [email protected]