A survey of localization methods for autonomous vehicles in highway scenarios
In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …
Analytical review of map matching algorithms: analyzing the performance and efficiency using road dataset of the indian subcontinent
Precise position information of moving entities on digital road networks is a vital requirement
of location-based applications. Location information received from Global Positioning …
of location-based applications. Location information received from Global Positioning …
Map-matching for low-sampling-rate GPS trajectories
Map-matching is the process of aligning a sequence of observed user positions with the
road network on a digital map. It is a fundamental pre-processing step for many applications …
road network on a digital map. It is a fundamental pre-processing step for many applications …
An interactive-voting based map matching algorithm
Matching a raw GPS trajectory to roads on a digital map is often referred to as the Map
Matching problem. However, the occurrence of the low-sampling-rate trajectories (eg one …
Matching problem. However, the occurrence of the low-sampling-rate trajectories (eg one …
Crowdsourcing urban form and function
Urban form and function have been studied extensively in urban planning and geographical
information science. However, gaining a greater understanding of how they merge to define …
information science. However, gaining a greater understanding of how they merge to define …
Online map-matching based on hidden markov model for real-time traffic sensing applications
In many Intelligent Transportation System (ITS) applications that crowd-source data from
probe vehicles, a crucial step is to accurately map the GPS trajectories to the road network in …
probe vehicles, a crucial step is to accurately map the GPS trajectories to the road network in …
[PDF][PDF] Trajectory similarity join in spatial networks
The matching of similar pairs of objects, called similarity join, is fundamental functionality in
data management. We consider the case of trajectory similarity join (TS-Join), where the …
data management. We consider the case of trajectory similarity join (TS-Join), where the …
Effective travel time estimation: When historical trajectories over road networks matter
In this paper, we study the problem of origin-destination (OD) travel time estimation where
the OD input consists of an OD pair and a departure time. We propose a novel neural …
the OD input consists of an OD pair and a departure time. We propose a novel neural …
Computing the discrete Fréchet distance in subquadratic time
The Fréchet distance measures similarity between two curves f and g that takes into account
the ordering of the points along the two curves: Informally, it is the minimum length of a leash …
the ordering of the points along the two curves: Informally, it is the minimum length of a leash …
Parallel trajectory similarity joins in spatial networks
The matching of similar pairs of objects, called similarity join, is fundamental functionality in
data management. We consider two cases of trajectory similarity joins (TS-Joins), including …
data management. We consider two cases of trajectory similarity joins (TS-Joins), including …