Surrounding vehicles' lane change maneuver prediction and detection for intelligent vehicles: A comprehensive review
R Song, B Li - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
Identifying and evaluating the potential risks in the surrounding environment is critical for
intelligent vehicles' safety and user experience. This paper provides a comprehensive …
intelligent vehicles' safety and user experience. This paper provides a comprehensive …
An LSTM network for highway trajectory prediction
F Altché, A de La Fortelle - 2017 IEEE 20th international …, 2017 - ieeexplore.ieee.org
In order to drive safely and efficiently on public roads, autonomous vehicles will have to
understand the intentions of surrounding vehicles, and adapt their own behavior …
understand the intentions of surrounding vehicles, and adapt their own behavior …
Car that knows before you do: Anticipating maneuvers via learning temporal driving models
A Jain, HS Koppula, B Raghavan… - Proceedings of the …, 2015 - openaccess.thecvf.com
Abstract Advanced Driver Assistance Systems (ADAS) have made driving safer over the last
decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a …
decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a …
A xgboost-based lane change prediction on time series data using feature engineering for autopilot vehicles
Road accidents wreck lives. Could technology stop them from happening? Driving better
road safety with technology and artificial intelligence are the key elements considered by …
road safety with technology and artificial intelligence are the key elements considered by …
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 …
A combined model-and learning-based framework for interaction-aware maneuver prediction
This paper presents a novel online-capable interaction-aware intention and maneuver
prediction framework for dynamic environments. The main contribution is the combination of …
prediction framework for dynamic environments. The main contribution is the combination of …
Non-local social pooling for vehicle trajectory prediction
K Messaoud, I Yahiaoui… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
For an efficient integration of autonomous vehicles on roads, human-like reasoning and
decision making in complex traffic situations are needed. One of the key factors to achieve …
decision making in complex traffic situations are needed. One of the key factors to achieve …
Convolution neural network-based lane change intention prediction of surrounding vehicles for ACC
Adaptive cruise control is one of the most widely used vehicle driver assistance systems.
However, uncertainty about drivers' lane change maneuvers in surrounding vehicles, such …
However, uncertainty about drivers' lane change maneuvers in surrounding vehicles, such …
Lane-change detection based on vehicle-trajectory prediction
We propose a new detection method to predict a vehicle's trajectory and use it for detecting
lane changes of surrounding vehicles. According to the previous research, more than 90 …
lane changes of surrounding vehicles. According to the previous research, more than 90 …
Vision-cloud data fusion for ADAS: A lane change prediction case study
With the rapid development of intelligent vehicles and Advanced Driver-Assistance Systems
(ADAS), a new trend is that mixed levels of human driver engagements will be involved in …
(ADAS), a new trend is that mixed levels of human driver engagements will be involved in …