A comparative evaluation of probabilistic and deep learning approaches for vehicular trajectory prediction
L Irio, R Oliveira - IEEE Open Journal of Vehicular Technology, 2021 - ieeexplore.ieee.org
This work compares two innovative methodologies to predict the future locations of moving
vehicles when their current and previous locations are known. The two methodologies are …
vehicles when their current and previous locations are known. The two methodologies are …
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 …
Machine learning for autonomous vehicle's trajectory prediction: A comprehensive survey, challenges, and future research directions
V Bharilya, N Kumar - Vehicular Communications, 2024 - Elsevier
The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …
A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle
Vehicle trajectory prediction is essential in ensuring the safe and efficient operation of
advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), as it enables …
advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), as it enables …
Sequence-to-sequence prediction of vehicle trajectory via LSTM encoder-decoder architecture
In this paper, we propose a deep learning based vehicle trajectory prediction technique
which can generate the future trajectory sequence of surrounding vehicles in real time. We …
which can generate the future trajectory sequence of surrounding vehicles in real time. We …
Probabilistic Vehicle Trajectory Prediction Based on LSTM Encoder-Decoder and Attention Mechanism
L Zhang, Z Liu, W Xiao, D Meng - 2022 - sae.org
In order to realize driving safety in highway scenarios, autonomous vehicles need to predict
and reason about the driving intentions and motion trajectories of surrounding target …
and reason about the driving intentions and motion trajectories of surrounding target …
Vehicle Trajectory Prediction Using Deep Learning for Advanced Driver Assistance Systems and Autonomous Vehicles
Vehicle trajectory prediction is essential for advanced driver assistance systems (ADAS) and
autonomous vehicles (AVs), playing a crucial role in collision avoidance, path planning, and …
autonomous vehicles (AVs), playing a crucial role in collision avoidance, path planning, and …
A survey of vehicle trajectory prediction based on deep learning models
In the field of smart urban traffic networks, Vehicle Trajectory Prediction or VTP is a crucial
research field in the area of driving assistance and autonomous vehicles. A vehicle can be …
research field in the area of driving assistance and autonomous vehicles. A vehicle can be …
Incorporating driving knowledge in deep learning based vehicle trajectory prediction: A survey
Z Ding, H Zhao - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
Vehicle Trajectory Prediction (VTP) is one of the key issues in the field of autonomous
driving. In recent years, more researchers have tried applying Deep Learning methods and …
driving. In recent years, more researchers have tried applying Deep Learning methods and …
Leveraging transformer model to predict vehicle trajectories in congested urban traffic
Accurate vehicle trajectory prediction enables safe, comfortable, and optimal proactive
motion planning for connected and autonomous vehicles (CAVs). Because of rapid …
motion planning for connected and autonomous vehicles (CAVs). Because of rapid …