Towards Implicit Interaction in Highly Automated Vehicles-A Systematic Literature Review
The inclusion of in-vehicle sensors and increased intention and state recognition
capabilities enable implicit in-vehicle interaction. Starting from a systematic literature review …
capabilities enable implicit in-vehicle interaction. Starting from a systematic literature review …
[HTML][HTML] LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points
Individual driving final destination prediction supports location-based services such as
personalized service recommendations, traffic navigation, and public transport dispatching …
personalized service recommendations, traffic navigation, and public transport dispatching …
Destination prediction based on partial trajectory data
P Ebel, IE Göl, C Lingenfelder… - 2020 IEEE Intelligent …, 2020 - ieeexplore.ieee.org
Two-thirds of the people who buy a new car prefer to use a substitute instead of the built-in
navigation system. However, for many applications, knowledge about a user's intended …
navigation system. However, for many applications, knowledge about a user's intended …
Optimal travel route recommendation mechanism based on neural networks and particle swarm optimization for efficient tourism using tourist vehicular data
With the swift growth in tourism all around the world, it has become vital to introduce
advancements and improvements to the services provided to the tourists, in order to ensure …
advancements and improvements to the services provided to the tourists, in order to ensure …
MAACO: A dynamic service placement model for smart cities
Smart cities generate huge volumes of data to be processed by applications with different
criticality and requirements. For example, a healthcare application needs lower latency …
criticality and requirements. For example, a healthcare application needs lower latency …
CRAWLING: a crowdsourcing algorithm on wheels for smart parking
We present the principled design of CRAWLING: a CRowdsourcing Algorithm on WheeLs
for smart parkING. CRAWLING is an in-car service for the routing of connected cars …
for smart parkING. CRAWLING is an in-car service for the routing of connected cars …
A context-aware e-bike system to reduce pollution inhalation while cycling
The effect of transport-related pollution on human health is fast becoming recognized as a
major issue in cities worldwide. Cyclists, in particular, face great health risks, as they …
major issue in cities worldwide. Cyclists, in particular, face great health risks, as they …
Meta-learning over time for destination prediction tasks
A need to understand and predict vehicles' behavior underlies both public and private goals
in the transportation domain, including urban planning and management, ride-sharing …
in the transportation domain, including urban planning and management, ride-sharing …
Bayesian classifier for route prediction with markov chains
We present here a general framework and a specific algorithm for predicting the destination,
route, or more generally a pattern, of an ongoing journey, building on the recent work of [1] …
route, or more generally a pattern, of an ongoing journey, building on the recent work of [1] …
Getting your package to the right place: supervised machine learning for geolocation
G Forman - Machine Learning and Knowledge Discovery in …, 2021 - Springer
Abstract Amazon Last Mile strives to learn an accurate delivery point for each address by
using the noisy GPS locations reported from past deliveries. Centroids and other center …
using the noisy GPS locations reported from past deliveries. Centroids and other center …