ELECTRICAL/ELECTRONICS AND ELECTRONIC SYSTEMS
−− White box −− Black box −− Grey box −− Unit −− Integration −− Interface −− System −− Static code analysis −− Formal methods −− Dynamic code testing −− SiL (Software in the loop) - Monte Carlo, DOE −− Sensor characterization −− HiL (Hardware in the loop) - Driving simulators, HiL Radar target simulation −− Soft targets −− Closed track testing - IIHS, Virginia smart road, MCity, AstaZero, Fort Monmouth, VeHIL −− On-road testing - states, federal, international • Testing Requirements That Must be Met Before a Vehicle Can be Tested On-road • Basic Network Architecture of a Modern Vehicle −− ECU’s −− Communication busses - CAN, FlexRay, LIN • Probable Attack Surfaces and Their Vulnerabilities −− Remote anti-theft system (Key fob) −− TPMS −− Remote keyless entry / start −− Bluetooth −− Radio data system −− Telematics / Cellular / WiFi • OBD II Vulnerabilities • Possible Defenses Against Attacks −− Minimize attack surfaces −− CAN message injection mitigation −− CAN message cryptography −− Vehicle network architecture changes −− Clock based intrusion detection • NHTSA October 2016 Best Practices Guidance • Ethical Challenges and Human Behaviors • Differences Between Human and Autonomous Crash Decision Making • Rational Decision-making Approaches; Deontology and Consequentialism • Artificial Intelligence Approach - Strengths and Weaknesses • Differences Between Negligence, No Fault Liability and Strict Liability Theories −− Case Study - Tesla Crash and How Liability was Determined • Regulations • States Permitting On-Road Testing • Testing Requirements • Current Federal Regulations and Their Application to Active Safety Technologies −− FMVSS
• Analysis of Ongoing Rulemaking Activities and Research and Their Applicability to Active Safety Technologies −− NHTSA “Policy on Automated Vehicle Development” May 2013 −− NHTSA “Policy on Automated Vehicle Development” update January 2016 −− NHTSA - Letters of interpretation −− NHTSA Advance notice of proposed rulemaking August 2014 (FMVSS 150) −− SPY Car Act of 2015 −− NHTSA - Federal Automated Vehicles Policy, September 20, 2016 • Federal Lane Departure Warning and Forward Collision Warning Tests • IIHS Automatic Emergency Braking Tests • HAV Implications for Passive Safety (Integrated Safety) • HAV Public / Industry Misconceptions • Vehicle Design / Use Changes Introduction to Radar for Automotive Applications 2 Days | Classroom Seminar I.D.# C1627 This course covers radar fundamentals, emphasizing the under- standing of physical principles and limitations of radar systems from the perspective of radar returns from objects of interest to automotive radar including vehicles, pedestrians and transportation infrastructure. Participants will be exposed to all aspects of radar design at a level detailed enough to understand system engineering estimates for the major functions by examining the basic functions of radars, from the waveform generation in the transmitter, all the way to matched filter detection in the receiver. Students will gain an understanding of how to characterize the impact on these basic functions due to radar design parameters. Trends in hardware and the associated benefits and trade-offs of new technologies will be discussed. The course will be taught from the perspective of a system level that can be used to evaluate design choices and understand their impact on the radar system as a whole. Instructor: Fee: $1415 Jeffery Blackburn 1.3 CEUs URL: sae.org/learn/content/c1603/
Learning Objectives By attending this seminar, participants will be able to:
• Define basic radar operation from the perspective of waveform generation, RF carrier insertions, transmitter, channel effects, receiver mixing, and matched filtering • Define basic radar design parameters including wavelength, bandwidth, antenna size, beam-schedule, and transmitter power
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3 ways to get a no-obligation price quote to deliver a course to your company: Call SAE Corporate Learning at +1.724.772.8529 | Fill out the online quote request at sae.org/corplearning | Email us at corplearn@sae.org
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