INTRO TO AUTONOMOUS MOBILITY - Lhpes

INTRO TOAUTONOMOUSMOBILITYDrive into the future of transportation with LHPU’simmersive autonomous technologies training.Learn the basics of Perception, Localization,Control, & Technology Integration.Earn an IEEE Certificate of Completion, alongwith Continuing Education Units uponcourse completion.

WHY SHOULD I LEARN ABOUT VEHICLE AUTOMATION?There is no denying the autonomous revolution is rapidly accelerating. OEM, Tier 1, andTier 2 manufacturers are increasing their rate of production on autonomous fleets, while thelargest constraint is the complexity to integrate these technologies in a safe and trustworthymanner. The transportation industry is in desperate need of engineers with the knowledgeto safely integrate autonomous subsystems into a vehicle, and the practical hands onexperience of overcoming these technological complexities.GET STARTEDControl your future in the Autonomous Mobility Mega Trend. Stand out in the market bydescribing how you integrated sensor technologies and programmed code to run anAutonomous Electric Vehicle. Be ready to perform Day 1 of your new career.BE BOLDMake the bold move to launch or advance your career in the Autonomous Mobility market.Join LHPU for the traditional 9-week bootcamp or personalize your training approach bychoosing a module that fits your schedule and career path.

INTRO TO AUTONOMOUS MOBILITYCOURSE OVERVIEWModule 1 – FoundationalEssentials for AutonomousMobility and Sonarby Mechanical SimulationCorporation, which will be usedthroughout the course.Module 5 – Machine LearningLearn how machine learningand its various concepts areLearn about Robot Operatingbeing used in autonomousModules 2,3,4 – PerceptionSystems (ROS) and how itvehicles, focusing on theusing LiDAR, Radar, andprovides a flexible and unifieddeep learning aspect and howComputer Visionsoftware environment. Thenmachine learning goes togetherLearn how LiDAR, Radar, andget the basics on Pythonwith perception. Learn to useComputer Vision act as theprogramming language, thethe power of machine learningeyes of self-driving vehicles,most popular and fastesttechniques where OpenCVproviding a 360-degree view,growing language used infails to work. Gain experienceproximity localization, andprogramming autonomouswith object recognition in realdetection of static and dynamic time scenarios. Discuss thevehicles. Become proficientobjects. Spend time processing challenges faced for deepin CAN CommunicationsJ1939 protocol and develop an signals from LiDAR, Radar, and learning and how to solveunderstanding of how it enables Computer Vision hardware onthem as a team. Train yourworkbenches, while receivingdata sharing and transfer forown machine learning model,one-on-one instruction from our integrate the model with ROSautonomous vehicles. Workexperienced trainers.with sensors, starting withand a camera, then pair withSonar, and learn how toall knowledge from previousprogram the device and managemodules to developsignal processing. Finally,algorithms to control thelearn about the industry leadingautonomous vehicle.simulation software CARSIM,Module 6 – Localizationusing RTK GNSSGain an understanding ofcoordinate systems, mapmaking, and necessaryformulas. Take a deep dive inthe GNSS System and why it isa key enabler of autonomousmobility. In this module, analyzeaccuracy performance betweenstandard and RTK enhancedGPS data, understand how toconnect to a live GPS receiverstream and how to analyze thisdata, and collect GPS datafrom a full-size autonomouselectric vehicle as it maneuversa course. Also, record datafrom a second receiver anddetermine how it calculatesorientation.

INTRO TO AUTONOMOUS MOBILITYJOB OUTLOOK OF THEAUTONOMOUSCOURSE OVERVIEWModule 7 – Drive by WireLearn about Drive by Wire(DBW) and how it enablesautonomous vehicles.Become familiar withthrottle, brake, and steeringactuators which are essentialto autonomous vehicleoperation. Then work withactual DBW componentson benches, learning abouthow the steering andbraking mechanisms andactuators work. Implementa simple steering anglecontroller (PID) to positionthe wheels, gathering datato manage both the positionof the steering angle andvelocity. Install your steeringcontroller algorithm onto anautonomous electric vehicleallowing it to either directlycontrol the steering or runin “safe parallel” where itcomputes steering actuatorcommands compared to thevehicle’s commands.Module 8 - Sensor Fusion,Path Planning, and ControlIn this module, bring it alltogether by creating modelsfor sensor fusion, pathplanning, and vehicle controlusing MATLAB Simulink andCARSIM. Dive into KalmanFiltering and then developand demonstrate building anIMU GPS filter structure andassess performance of thefilter, using MATLAB controlsystem and sensor fusiontoolboxes. Further, learndiscreet path planning andprediction concepts, followedby trajectory generation,then ultimately generate aunique path plan. Learnabout closed-loop feedbackcontrols, understanding theModel Predictive Controlformulation, and then finallygain the experience andknowledge of the integrationand tuning of advancedcontrols in the simulationenvironment, CARSIM.TRANSPORTATION INDUSTRYThe autonomous vehicle industry is creating jobs,especially as multiple companies race to put the first selfdriving car into action.Module 9 – CapstoneProjectApply all your learning in theprevious 8 weeks as part ofa project team by tacklinga tough challenge on oneof our autonomous electricvehicles. Perhaps you willintegrate a new sensor, suchas LiDAR, onto the vehicleand must create a pathplan to enable autonomousfunctioning, or perhaps yourtask will be to improve themachine learning functionalityof the vehicle’s controller.Whatever the challenge, yourlearning will culminate withan experience that cannot befound in any other trainingprogram, one which canbe used to communicatea grasp of autonomousmobility technologies in frontof hiring managers lookingfor someone with your newlyacquired skills. An IEEEcertificate of completion,with continuing educationunits, will be awarded uponsuccessful completionof the course.27%JOBS HAVE INCREASEDAutonomous driving joblistings increased 27 percentyear over year in January 2018,according to ZipRecruiterEVIDENCE THATSTART-UPS ARE GROWINGAurora expanded from a teamof three in 2016 to over 150people across multiple facilities.Zoox grown from fourpeople in2014 to more than 520 todayMAJOR COMPANIESDEVELOPING THEIROWN SELF DRIVING CARSApple, Google, TeslaAUTONOMOUSVEHICLE GROWTH2025 to 2030, autonomouscars will be 20 percent ofcar salesTOP 10 SKILLS FORAUTONOMOUS VEHICLE JOBSRankSkill1Programming: C or C 2Programming: Python3Image Processing4Artificial Intelligence5Machine Learning6Programming Tools: Git7Programming: Matlab8Programming: Java9Programming: Shell Script10Embedded Software

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programming language, the most popular and fastest growing language used in programming autonomous vehicles. Become proficient in CAN Communications J1939 protocol and develop an understanding of how it enables data sharing and transfer for autonomous vehicles. Work with sensors, starting with Sonar, and learn how to program the device and manage