Deep learning-based vehicle behavior prediction for autonomous driving applications: A review
S Mozaffari, OY Al-Jarrah, M Dianati… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Behaviour prediction function of an autonomous vehicle predicts the future states of the
nearby vehicles based on the current and past observations of the surrounding environment …
nearby vehicles based on the current and past observations of the surrounding environment …
A dual learning model for vehicle trajectory prediction
M Khakzar, A Rakotonirainy, A Bond… - IEEE Access, 2020 - ieeexplore.ieee.org
Automated vehicles and advanced driver-assistance systems require an accurate prediction
of future traffic scene states. The tendency in recent years has been to use deep learning …
of future traffic scene states. The tendency in recent years has been to use deep learning …
Transferable and adaptable driving behavior prediction
While autonomous vehicles still struggle to solve challenging situations during on-road
driving, humans have long mastered the essence of driving with efficient, transferable, and …
driving, humans have long mastered the essence of driving with efficient, transferable, and …
Driver behavior modeling towards autonomous vehicles: Comprehensive review
Driver behavior models have been used as input to self-coaching, accident prevention
studies, and developing driver-assisting systems. In recent years, driver behavior …
studies, and developing driver-assisting systems. In recent years, driver behavior …
Predicting vehicle behaviors over an extended horizon using behavior interaction network
Anticipating possible behaviors of traffic participants is an essential capability of
autonomous vehicles. Many behavior detection and maneuver recognition methods only …
autonomous vehicles. Many behavior detection and maneuver recognition methods only …
Automated vehicle's behavior decision making using deep reinforcement learning and high-fidelity simulation environment
Automated vehicles (AVs) are deemed to be the key element for the intelligent transportation
system in the future. Many studies have been made to improve AVs' ability of environment …
system in the future. Many studies have been made to improve AVs' ability of environment …
Artificial intelligence for vehicle behavior anticipation: Hybrid approach based on maneuver classification and trajectory prediction
Innovative technologies and naturalistic driving data sources provide a great potential to
develop reliable autonomous driving systems. Understanding the behaviors of surrounding …
develop reliable autonomous driving systems. Understanding the behaviors of surrounding …
Attention based vehicle trajectory prediction
K Messaoud, I Yahiaoui… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Self-driving vehicles need to continuously analyse the driving scene, understand the
behavior of other road users and predict their future trajectories in order to plan a safe …
behavior of other road users and predict their future trajectories in order to plan a safe …
Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges
In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …
A survey on trajectory-prediction methods for autonomous driving
In order to drive safely in a dynamic environment, autonomous vehicles should be able to
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …
predict the future states of traffic participants nearby, especially surrounding vehicles, similar …