4.0 Article

Predicting Vehicle Behavior Using Automotive Radar and Recurrent Neural Networks

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Attention Based Vehicle Trajectory Prediction

Kaouther Messaoud et al.

Summary: This paper focuses on vehicle trajectory prediction by modeling vehicle interactions, utilizing an attention mechanism to highlight neighboring vehicles' future states, and considering multiple potential futures based on different goals and driving behaviors, leading to outperforming the state-of-the-art performances on highway datasets through a combination of global and partial attention.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2021)

Article Computer Science, Information Systems

People Walking Classification Using Automotive Radar

Linda Senigagliesi et al.

ELECTRONICS (2020)

Article Engineering, Multidisciplinary

A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities

R. Vinayakumar et al.

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)

Proceedings Paper Automation & Control Systems

Interacting Vehicle Trajectory Prediction with Convolutional Recurrent Neural Networks

Saptarshi Mukherjee et al.

2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2020)

Article Engineering, Civil

Interactive Trajectory Prediction of Surrounding Road Users for Autonomous Driving Using Structural-LSTM Network

Lian Hou et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Scene Understanding With Automotive Radar

Ole Schumann et al.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2020)

Article Engineering, Electrical & Electronic

Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges

Yang Xing et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)

Article Engineering, Civil

Lane Detection With a High-Resolution Automotive Radar by Introducing a New Type of Road Marking

Zhaofei Feng et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Trajectory prediction of vehicles turning at intersections using deep neural networks

Mohammad Shokrolah Shirazi et al.

MACHINE VISION AND APPLICATIONS (2019)

Article Computer Science, Information Systems

Deep Learning Approach for Intelligent Intrusion Detection System

R. Vinayakumar et al.

IEEE ACCESS (2019)

Article Engineering, Electrical & Electronic

An IMM/EKF Approach for Enhanced Multitarget State Estimation for Application to Integrated Risk Management System

Beomjun Kim et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2015)

Article Robotics

HUMAN-ROBOT COLLISION AVOIDANCE USING A MODIFIED SOCIAL FORCE MODEL WITH BODY POSE AND FACE ORIENTATION

Photchara Ratsamee et al.

INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS (2013)

Article Robotics

Growing Hidden Markov Models: An Incremental Tool for Learning and Predicting Human and Vehicle Motion

Dizan Vasquez et al.

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2009)