Essays about: "Map-matching"
Showing result 1 - 5 of 19 essays containing the word Map-matching.
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1. Map Based Sensor Fusion for Lane Boundary Estimation on ADAS
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. ESTIMATION OF POINT PROCESSES ON DIRECTED GRAPHS
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Road accidents are one of the most important concerns worldwide. Studying and analysing them is one way to improve and ensure safety on the roads. Traffic accident records for four years have been provided and are analysed in this thesis. READ MORE
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3. Guardrail detection for landmark-based localization
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : A requirement for safe autonomous driving is to have an accurate global localization of the ego vehicle. Methods based on Global Navigation Satellite System (GNSS) are the most common but are not precise enough in areas without good satellite signals. Instead, methods likelandmark-based localization (LBL) can be used. READ MORE
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4. Transport mode inference by multimodal map matching and sequence classification
University essay from KTH/GeoinformatikAbstract : Automation of travel diary collection, an essential input for transport planning, has been a fruitful line of research for the last years; in particular, concerning the problem of automatic inference of transport modes. Taking advantage of technological advance, several solutions based on the collection of mobile devices data, such as GPS locations and variables related to movement (such as speed) and motion (e. READ MORE
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5. Map Matching to road segments using Hidden Markov Model with GNSS, Odometer and Gyroscope
University essay from Linköpings universitet/Programvara och systemAbstract : In this thesis the Hidden Markov Model (HMM) is used in the process of map matching to investigate the accuracy for road segment map matching. A few HMM algorithms using a Global Navigation Satellite System (GNSS) receiver, odometer and gyroscope sensors are presented. The HMM algorithms are evaluated on four accuracy metrics. READ MORE