Automotive Embedded Software Engineering
NETWALK offers cutting-edge embedded software services to turn your design into a fully functional system. By having an experience of more than 15 years in development, we understand the technical and business issues and develop systems which run reliably and with high performance on your chosen hardware. We make a decisive impact in the industry with unique competencies in board support package: development, protocol stacks, porting, middleware and application development. Our remarkable and profound expertise in requirement analysis, system architecture, code development, and integration testing guarantee to revolutionize fields extending from automobile to industrial machinery. At NETWALK, we research and develop on the most recent advances in compilers and architectures for high-performance, low-power embedded systems. We design and develop systems with amazingly less energy consumption in a safe, secure and reliable manner. Read More

Advanced Driver-Assistance Systems (ADAS)
Advanced Driver Assistance Systems (acronym: ADAS) are electronic components in vehicles which are developed to automate/adapt/enhance vehicle systems for safety and better driving. Advanced driver-assistance systems are one of the fastest-growing segments in automotive electronics, with steadily increasing rates of adoption of industry-wide quality standards, in vehicular safety systems ISO 26262, developing technology specific standards, such as IEEE 2020 for Image Sensor quality and communications protocols such as the Vehicle Information API. They do the following:
• Assist the driver
• Enhance Safety
• Improve convenience and Economy
A crucial factor for success is full detection of the car's surroundings with all the relevant objects. This includes reliably predicting how a traffic scenario will develop. Different sensors acquire the vehicle's surroundings, and the sensor data is then analyzed and merged in the ECUs.
Challenges in the development of ADAS
Large quantities of data from different sensors such as radar, lidar, ultrasonic, laser and video-based systems must be visualized and validated. Fundamental tasks in ADAS development are:
• Developing multisensor applications
• Sensor data fusion
• Design of probabilistic algorithms
• Integrating image processing
• Automated evaluation of large quantities of data
• Object validation
• Quick access to internal ECU data
• Integrating ECUs into a network
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E-Mobility
The current mobility goal is to provide an inter-operable electromobility framework to align the ongoing regional and national electromobility initiatives. At the same time the European Governments and partner Automotive Giants unveiled the “Transport 2050” plan which includes the aim to half the number of conventionally fueled cars in cities by 2030 and phase them out by 2050


Connected Cars
ADAS relies on inputs from multiple data sources, including automotive imaging, LiDAR, radar, image processing, computer vision, and in-car networking. Additional inputs are possible from other sources separate from the primary vehicle platform, such as other vehicles, referred to as Vehicle-to-vehicle (V2V), or Vehicle-to-Infrastructure (such as mobile telephony or WiFi data network) systems.
Infotainment Systems
Customers developing automotive infotainment systems and products face several issues in today’s environment. The rate of innovation is unprecedented, with the in-car experience being transformed by next-generation vehicle infotainment. Hence, a variety of technology must be utilized simultaneously and effectively to meet consumer demand.


Autonomous Drive
Advanced driver-assistance systems (ADAS) are systems developed to automate/adapt/enhance vehicle systems for safety and better driving. Advanced driver-assistance systems are one of the fastest-growing segments in automotive electronics, with steadily increasing rates of adoption of industry-wide quality standards, In vehicular safety systems ISO 26262, developing technology specific standards, such as IEEE 2020 for Image Sensor quality and communications protocols such as the Vehicle Information API.