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Driver assistance systems Electrical, Electronics, and Avionics Standardization

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Training / Education

Development and Practice of Airborne Electronic Hardware Based on DO-254
2024-09-24
This seminar is offered in China only and presented in Mandarin Chinese. The course materials are bilingual (English and Chinese). Through this course, participants will have a comprehensive understanding of the DO-254 standard. They will learn the relationship between the development of airborne electronic hardware (AEH) and the development of the aircraft and the system, grasp the key objectives, activities, and generated data of AEH lifecycle, learn some common problems in the application of DO-254 and how to prevent these problems to reduce the risks of deviating from DO-254. 
Training / Education

LIDAR for ADAS and Autonomous Sensing
2024-04-19
Advanced Driver Assist System (ADAS) and autonomous vehicle technologies have disrupted the traditional automotive industry with potential to increase safety and optimize the cost of car ownership. Light detection and ranging (LIDAR) sensing, a sensing method that detects objects and maps their distances, is seeing rapid growth and adoption in the industry. However, the sensor requirements and system architecture options continue to evolve. This course will provide the foundation on which to build LIDAR technologies in automotive applications.
Training / Education

Infrared Camera for ADAS and Autonomous Sensing
2024-04-18
Advanced Driver Assist System (ADAS) and autonomous vehicle technologies have disrupted the traditional automotive industry with potential to increase safety and optimize the cost of car ownership. Among the challenges are those of sensing the environment in and around the vehicle. Infrared camera sensing is seeing a rapid growth and adoption in the industry. The applications and illumination architecture options continue to evolve. This course will provide the foundation on which to build near infrared camera technologies for automotive applications.
Training / Education

Applying DO-254 for Avionics Hardware Development and Certification
2024-04-17
The avionics hardware industry world-wide is now commonly required to follow DO-254 Design Assurance Guidance for Airborne Electronic Hardware for literally all phases of development: Safety, Requirements, Design, Logic Implementation, V&V, Quality Assurance, etc. The DO-254 standard is a companion to the software DO-178B standard; however, there are many differences between hardware and software which must be understood. This basic course introduces the intent of the DO-254 standard for commercial avionics hardware development.
Training / Education

ADAS Application Automatic Emergency Braking
2024-04-15
Active Safety, Advanced Driver Assistance Systems (ADAS) are now being introduced to the marketplace as they serve as key enablers for anticipated autonomous driving systems. Automatic Emergency Braking (AEB) is one ADAS application which is either in the marketplace presently or under development as nearly all automakers have pledged to offer this technology by the year 2022. This one-day course is designed to provide an overview of the typical ADAS AEB system from multiple perspectives.
Training / Education

Emissions-Related OBD Systems A Design Overview
2024-04-15
On-board diagnostics, required by governmental regulations, provide a means for reducing harmful pollutants into the environment. Since being mandated in 1996, the regulations have continued to evolve and require engineers to design systems that meet strict guidelines. This one day seminar is designed to provide an overview of the fundamental design objectives and the features needed to achieve those objectives for generic on-board diagnostics. The basic structure of an on-board diagnostic will be described along with the system definitions needed for successful implementation.
Training / Education

Exploration of Machine Learning and Neural Networks for ADAS and L4 Vehicle Perception
2024-03-27
Convolutional neural networks are the de facto method of processing camera, radar, and lidar data for use in perception in ADAS and L4 vehicles, yet their operation is a black box to many engineers. Unlike traditional rules-based approaches to coding intelligent systems, networks are trained and the internal structure created during the training process is too complex to be understood by humans, yet in operation networks are able to classify objects of interest at error rates better than rates achieved by humans viewing the same input data.
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