Sökning: "Night-time Driving"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Night-time Driving.
1. Video-Based Estimation of Driver Sleepiness Using Machine Learning
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Approximately 1.35 million people die each year in car accidents and it is the most common cause of death for people aged 5-29. Because of this it is of large interest to be able to detect when a driver enters a sleepy state and to be able to alert the driver. LÄS MER
2. Deep Learning based Turn Light Detection at Road Intersections for Autonomous Driving
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous driving promises to revolutionise transportation by making it more efficient, cheaper, safer and climate friendlier. Bringing autonomous vehicles onto roads requires effectively sensing the surrounding environment and integrating derived information into a safe and efficient driving policy. LÄS MER
3. Disaggregating economic inequality from space
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Reducing inequality is number 10 of the United Nations sustainable development goals. Inequality in society affect economic growth, development and poverty reduction, and through these indirectly affect environmental degradation, food security and other major problems facing society today. LÄS MER
4. Impact by bomas on the distribution of spotted hyena (Crocuta crocuta) in the Mara Region, Kenya
Kandidat-uppsats, SLU/Dept. of Animal Environment and HealthSammanfattning : The aim of this study is to find out if, and in what way the Maasai pastoralists affect the spotted hyena (Crocuta crocuta) through Bomas (Maasai settlement) and keeping of livestock. The study was carried out in the Maasai Mara National Reserve and the adjoining group ranch, Koyake GR, in South-western Kenya. LÄS MER
5. Method for detection of sleepiness : measurement of interaction between driver and vehicle
Magister-uppsats, Institutionen för konstruktions- och produktionsteknikSammanfattning : As more and more people conduct vigilance-based activities at times other than the traditional daytime work hours, the time utilization will continue to escalate in the next century and will further increase the risks of sleepiness-related accidents. This project, which is commissioned by Scania CV AB, is to nvestigate the potential of a method for sleepiness detection belonging to esium AB. LÄS MER