Sökning: "Volvo Car Corporation"
Visar resultat 11 - 15 av 97 uppsatser innehållade orden Volvo Car Corporation.
11. CAE modelling of cast aluminium in automotive structures
Master-uppsats, Linköpings universitet/Mekanik och hållfasthetsläraSammanfattning : In the automobile industry, there is a big push for the automotive car manufacturers to base engineering decisions on the results of Computer Aided Engineering (CAE) solutions, and to transform the prototyping and testing, from a costly iterative process to a final verification and validation step. The variability in components material properties and environmental conditions together with the lack of knowledge about the underlying physics of complex systems often make it impractical to make reliable predictions based on only deterministic CAE models. LÄS MER
12. Dynamic path planning for collision avoidance in a robotized framework for autonomous driving verification
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Self-driving vehicles is a highly anticipated technology for increasing the safety and efficiency of automotive transportation systems by removing the risk of human errors. Volvo Car Corporation is determined to produce vehicles of full autonomy and highest safety within the near future. LÄS MER
13. Realistic Modelling of Ultrasound Sensing for Autonomous Vehicles
Master-uppsats, Linköpings universitet/Elektroniska Kretsar och SystemSammanfattning : Ultrasonic sensors are popular in parking functions in automotive. They are used to measure distances between a car and obstacles near the car. Car companies need to prove that sensors are reliable before using them on vehicles since these sensors are safety-critical. LÄS MER
14. Facilitating Automatic Setup in a Robotised Test Framework for Autonomous Vehicles by Path Planning and Real-Time Trajectory Generation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The research in the field of autonomous vehicles and self-driving carsis growing at a rapid pace and strong initiatives are being taken to verifythe capability and functionality of such autonomous vehicles.Withcontinuous development being carried out in the field of AdvancedDriver Assist Systems (ADAS) and Autonomous Drive (AD) functions,ensuring safety, robustness and reliability of these functions is challengingand it requires advanced ways of verification and testing beforethese functions are deployed on the vehicle and delivered to thecustomer. LÄS MER
15. Dynamic Speed Adaptation for Curves using Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. LÄS MER