A review of HMM-based approaches of driving behaviors recognition and prediction
Current research and development in recognizing and predicting driving behaviors plays an
important role in the development of Advanced Driver Assistance Systems (ADAS). For this …
important role in the development of Advanced Driver Assistance Systems (ADAS). For this …
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 …
How would surround vehicles move? a unified framework for maneuver classification and motion prediction
Reliable prediction of surround vehicle motion is a critical requirement for path planning for
autonomous vehicles. In this paper, we propose a unified framework for surround vehicle …
autonomous vehicles. In this paper, we propose a unified framework for surround vehicle …
An ensemble deep learning approach for driver lane change intention inference
With the rapid development of intelligent vehicles, drivers are increasingly likely to share
their control authorities with the intelligent control unit. For building an efficient Advanced …
their control authorities with the intelligent control unit. For building an efficient Advanced …
Driver lane change intention inference for intelligent vehicles: Framework, survey, and challenges
Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …
awareness of the traffic context, as well as the driver status since ADAS share the vehicle …
Cooperative trajectory planning for haptic shared control between driver and automation in highway driving
This paper addresses the driver-automation shared driving control for lane keeping and
obstacle avoidance of automated vehicles in highway traffic. The proposed shared control …
obstacle avoidance of automated vehicles in highway traffic. The proposed shared control …
Driver gaze zone estimation using convolutional neural networks: A general framework and ablative analysis
Driver gaze has been shown to be an excellent surrogate for driver attention in intelligent
vehicles. With the recent surge of highly autonomous vehicles, driver gaze can be useful for …
vehicles. With the recent surge of highly autonomous vehicles, driver gaze can be useful for …
Lane change detection and prediction using real-world connected vehicle data
Prediction of lane changes (LCs) provides critical information to enhance traffic safety and
efficiency in a connected and automated driving environment. It is essential to precisely …
efficiency in a connected and automated driving environment. It is essential to precisely …
Dynamics of driver's gaze: Explorations in behavior modeling and maneuver prediction
The study and modeling of driver's gaze dynamics are important because, if and how the
driver is monitoring the driving environment is vital for driver assistance in manual mode, for …
driver is monitoring the driving environment is vital for driver assistance in manual mode, for …
Learning 3d-aware egocentric spatial-temporal interaction via graph convolutional networks
To enable intelligent automated driving systems, a promising strategy is to understand how
human drives and interacts with road users in complicated driving situations. In this paper …
human drives and interacts with road users in complicated driving situations. In this paper …