Essays about: "Lane recognition"
Showing result 1 - 5 of 7 essays containing the words Lane recognition.
-
1. Robust Object Recognition and Tracking with Drones
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. READ MORE
-
2. School bikeability index: A case study of primary schools in Stockholm
University essay from KTH/Transport och systemanalysAbstract : Despite the recognised positive benefits of cycling overall and for school children specifically, in most developed countries, a decline rather than an increase in active travel to and from school has been observed during the past few decades. In recent years, the concept of bikeability (or bicycle accessibility) emerged, and together with it various bikeability indices that enable to assess the bicycle friendliness of a location and contribute to prioritization of future investments. READ MORE
-
3. Development and Evaluation of a Road Marking Recognition Algorithm implemented on Neuromorphic Hardware
University essay from KTH/DatavetenskapAbstract : Driving is one of the most common and preferred forms of transport used in our actual society. However, according to studies, it is also one of the most dangerous. One solution to increase safety on the road is applying technology to automate and prevent avoidable human errors. READ MORE
-
4. Drone navigation and license plate recognition for vehicle search and classification
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : This thesis explores the progress of creating a system for detecting license plates and navigating through a garage environment with onboard computing on the nano-drone CrazyFlie 2.1. The system uses the deep learning network MobileNetv2 to classify real-time images from the built-in camera to detect license plates in its immediate environment. READ MORE
-
5. VePMAD: A Vehicular Platoon Management Anomaly Detection System : A Case Study of Car-following Mode, Middle Join and Exit Maneuvers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Vehicle communication using sensors and wireless channels plays an important role to allow exchanging information. Adding more components to allow exchanging more information with infrastructure enhanced the capabilities of vehicles and enabled the rise of Cooperative Intelligent Transport Systems (C-ITS). READ MORE