Sökning: "självkörning"
Visar resultat 1 - 5 av 6 uppsatser innehållade ordet självkörning.
1. UsoniClean : Innovativt koncept för rengöring av LiDAR sensorer på personbilar
Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetSammanfattning : Vision zero in traffic is something that car manufacturers and countries around the world strive for. To achieve this, safer and smarter cars are needed. Car manufacturers are introducing safety systems after safety systems to make it safer for the driver and other road users. One of these safety systems is LiDAR sensors. LÄS MER
2. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. LÄS MER
3. Research and Analysis of Suspension Dynamics of an Autonomous Bidirectional Road Vehicle
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : The bidirectionality of road vehicles is a novel research area, which is directly connected with autonomy, efficiency, flexibility and sustainability of transportation. The research in this area is mostly performed with stringent restrictions in corporate secrecy. This fact makes the area publicly unexplored, moreover highly future oriented. LÄS MER
4. Learning Based Road Estimation
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The interest in autonomous driving has vastly increased, leading to a surge in research and development efforts over the past decades. This technology could enhance road safety, alleviate traffic congestion, and yield numerous environmental and economic benefits. LÄS MER
5. Conditional Imitation Learning for Autonomous Driving : Comparing two approaches
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Syftet med denna studie var att bygga, träna och testa two olika självkörande agenter med hjälp av maskininlärningstekniker, specifikt neurala nätverk. För att träna agenterna användes en teknik kallad Imitationsinlärning. LÄS MER