[HTML][HTML] A survey on motion prediction and risk assessment for intelligent vehicles
With the objective to improve road safety, the automotive industry is moving toward more
“intelligent” vehicles. One of the major challenges is to detect dangerous situations and react …
“intelligent” vehicles. One of the major challenges is to detect dangerous situations and react …
[HTML][HTML] Vehicular mobility patterns and their applications to Internet-of-Vehicles: A comprehensive survey
With the growing popularity of the Internet-of-Vehicles (IoV), it is of pressing necessity to
understand transportation traffic patterns and their impact on wireless network designs and …
understand transportation traffic patterns and their impact on wireless network designs and …
Vehicle trajectory prediction based on motion model and maneuver recognition
A Houenou, P Bonnifait, V Cherfaoui… - 2013 IEEE/RSJ …, 2013 - ieeexplore.ieee.org
Predicting other traffic participants trajectories is a crucial task for an autonomous vehicle, in
order to avoid collisions on its planned trajectory. It is also necessary for many Advanced …
order to avoid collisions on its planned trajectory. It is also necessary for many Advanced …
Uncertainty-aware driver trajectory prediction at urban intersections
Predicting the motion of a driver's vehicle is crucial for advanced driving systems, enabling
detection of potential risks towards shared control between the driver and automation …
detection of potential risks towards shared control between the driver and automation …
Probabilistic risk metric for highway driving leveraging multi-modal trajectory predictions
Road traffic safety has attracted increasing research attention, in particular in the current
transition from human-driven vehicles to autonomous vehicles. Surrogate measures of …
transition from human-driven vehicles to autonomous vehicles. Surrogate measures of …
Multi-head attention based probabilistic vehicle trajectory prediction
This paper presents online-capable deep learning model for probabilistic vehicle trajectory
prediction. We propose a simple encoder-decoder architecture based on multihead …
prediction. We propose a simple encoder-decoder architecture based on multihead …
Vehicle trajectory and lane change prediction using ANN and SVM classifiers
R Izquierdo, I Parra, J Muñoz-Bulnes… - 2017 IEEE 20th …, 2017 - ieeexplore.ieee.org
Millions of traffic accidents take place every year on roads around the world. Some
advanced assistance systems have been released in commercial vehicles in the past few …
advanced assistance systems have been released in commercial vehicles in the past few …
Motion model-assisted GNSS/MEMS-IMU integrated navigation system for land vehicle
Y Sun, Z Li, Z Yang, K Shao, W Chen - GPS Solutions, 2022 - Springer
Micro-electromechanical systems and inertial measurement units (MEMS-IMUs) show great
advantages in terms of price and size. Nevertheless, due to limitations of technology, their …
advantages in terms of price and size. Nevertheless, due to limitations of technology, their …
An adaptive approach to vehicle trajectory prediction using multimodel Kalman filter
With the aim to improve road safety services in critical situations, vehicle trajectory and future
location prediction are important tasks. An infinite set of possible future trajectories can exit …
location prediction are important tasks. An infinite set of possible future trajectories can exit …
A novel approach for the probabilistic computation of time-to-collision
A Berthelot, A Tamke, T Dang… - 2012 IEEE Intelligent …, 2012 - ieeexplore.ieee.org
Reliability and fault tolerance are very important criteria in the design and development of
advanced driver assistance systems (ADAS). Modern driver assistance systems rely on …
advanced driver assistance systems (ADAS). Modern driver assistance systems rely on …