Interaction-aware Kalman Neural Networks for Trajectory Prediction
, 2020 Forecasting the motion of surrounding obstacles (vehicles, bicycles, pedestrians and etc.) benefits the on-road motion planning for intelligent and autonomous vehicles.
Chang, Dong Eui +4 more
core +1 more source
ELECTRONIC SYSTEMS OF INTELLIGENT VEHICLES [PDF]
Mechanics of Machines, Mechanisms and Materials, 2020 Modern automotive engineering is closely related to the implementation of information systems. In automobile transport, the range of such developments is considerably wide: from driver assistance systems (ADAS — Advanced Driver Assistance System) to full autopilot systems.
Denis V. Endachev +3 more
openaire +1 more source
Learning Negotiating Behavior Between Cars in Intersections using Deep Q-Learning [PDF]
, 2018 This paper concerns automated vehicles negotiating with other vehicles, typically human driven, in crossings with the goal to find a decision algorithm by learning typical behaviors of other vehicles.
Ali, Mohammad +4 more
core +2 more sources
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments [PDF]
, 2017 Traffic waves are phenomena that emerge when the vehicular density exceeds a critical threshold. Considering the presence of increasingly automated vehicles in the traffic stream, a number of research activities have focused on the influence of automated
Bhadani, Rahul +13 more
core +3 more sources
LFD-Net: Lightweight Feature-Interaction Dehazing Network for Real-Time Remote Sensing Tasks
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Currently, remote sensing equipments are evolving toward intelligence and integration, incorporating edge computing techniques to enable real-time responses.
Yizhu Jin +3 more
doaj +1 more source
Adding ears to intelligent connected vehicles by combining microphone arrays and high definition map
IET Intelligent Transport Systems, 2021 Ears are responsible for the sense of hearing, which is indispensable for a human to understand the environment. It is similar to an intelligent vehicle where acoustical data contains useful and valuable information to comprehend the environment to ...
Kun Jiang +6 more
doaj +1 more source
A Novel Cooperative Hunting Algorithm for Inhomogeneous Multiple Autonomous Underwater Vehicles
IEEE Access, 2018 Cooperative hunting of multi-autonomous underwater vehicle (AUV) is an important research topic. Current studies concentrate on AUVs with the same speed abilities and mostly do not consider their speed differences.
Mingzhi Chen, Daqi Zhu
doaj +1 more source
Multi-AUV Hunting Algorithm Based on Bio-inspired Neural Network in Unknown Environments
International Journal of Advanced Robotic Systems, 2015 The multi-AUV hunting problem is one of the key issues in multi-robot system research. In order to hunt the target efficiently a new hunting algorithm based on a bio-inspired neural network has been proposed in this paper.
Daqi Zhu +3 more
doaj +1 more source
Enhanced Intelligent Driver Model to Access the Impact of Driving Strategies on Traffic Capacity
, 2009 With an increasing number of vehicles equipped with adaptive cruise control (ACC), the impact of such vehicles on the collective dynamics of traffic flow becomes relevant.
Helbing, Dirk +2 more
core +1 more source
Detecting Traffic Conditions Model Based On Clustering Nodes Situations In VANET [PDF]
, 2015 In the last decade, cooperative vehicular network has been one of the most studied areas for developing the intelligent transportation systems (ITS).
Abufanas, A, Peytchev, E
core +1 more source