Sökning: "Intelligent vehicle systems"
Visar resultat 1 - 5 av 60 uppsatser innehållade orden Intelligent vehicle systems.
1. Impact of C-ITS on Mobility and Society
Master-uppsats, KTH/TransportplaneringSammanfattning : This thesis investigates the important potential of Cooperative Intelligent Transport Systems (C-ITS) onmobility and society. C-ITS appears as a promising solution to reinvent transportation and become avital part of the ever-evolving environment as developments in technology continue to change the world. LÄS MER
2. Decentralized approach for IVI : Infrastructure-vehicle-information
Kandidat-uppsats, Högskolan i HalmstadSammanfattning : With the growing number of vehicles on the road, improving traffic safety and efficiency has become a major challenge. One of the promising solutions is the implementation of Intelligent Transportation Systems (ITS), which utilizes communication technologies to facilitate real-time information sharing between vehicles and infrastructure. LÄS MER
3. Peer-to-peer misbehaviour reporting using non-interactive zero-knowledge proofs in ETSI ITS-G5
Master-uppsats, Linköpings universitet/Databas och informationsteknikSammanfattning : In the future of intelligent transport systems, vehicles will communicate with other vehicles and infrastructure. Through this communication, vehicles can cooperate in traffic situations such as intersections and highway merging. This communication can also facilitate sharing of information about other vehicles. LÄS MER
4. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A vehicles ability to detect and estimate its surroundings is important for ensuring the safety of the vehicle and passengers regardless of the level of vehicle autonomy. With an improved road and lane estimation, advanced driver-assistance systems will be able to provide earlier and more accurate warnings and actions to prevent a possible accident. LÄS MER
5. Real Time Vehicle Detection for Intelligent Transportation Systems
Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. LÄS MER