Social interactions for autonomous driving: A review and perspectives
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …
their goals in social traffic scenes. A rational human driver can interact with other road users …
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 …
Driver digital twin for online prediction of personalized lane-change behavior
Connected and automated vehicles (CAVs) are supposed to share the road with human-
driven vehicles (HDVs) in a foreseeable future. Therefore, considering the mixed traffic …
driven vehicles (HDVs) in a foreseeable future. Therefore, considering the mixed traffic …
Lane-change intention estimation for car-following control in autonomous driving
Car-following is the most general behavior in highway driving. It is crucial to recognize the
cut-in intention of vehicles from an adjacent lane for safe and cooperative driving. In this …
cut-in intention of vehicles from an adjacent lane for safe and cooperative driving. In this …
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 …
Online prediction of lane change with a hierarchical learning-based approach
In the foreseeable future, connected and auto-mated vehicles (CAVs) and human-driven
vehicles will share the road networks together. In such a mixed traffic environment, CAVs …
vehicles will share the road networks together. In such a mixed traffic environment, CAVs …
Spatiotemporal learning of multivehicle interaction patterns in lane-change scenarios
Interpretation of common-yet-challenging inter-action scenarios can benefit well-founded
decisions for autonomous vehicles. Previous research achieved this using their prior …
decisions for autonomous vehicles. Previous research achieved this using their prior …
Attention-based lane change prediction
O Scheel, NS Nagaraja, L Schwarz… - … on Robotics and …, 2019 - ieeexplore.ieee.org
Lane change prediction of surrounding vehicles is a key building block of path planning. The
focus has been on increasing the accuracy of prediction by posing it purely as a function …
focus has been on increasing the accuracy of prediction by posing it purely as a function …
Long-term prediction of lane change maneuver through a multilayer perceptron
Behavior prediction plays an essential role in both autonomous driving systems and
Advanced Driver Assistance Systems (ADAS), since it enhances vehicle's awareness of the …
Advanced Driver Assistance Systems (ADAS), since it enhances vehicle's awareness of the …
Automated highway driving decision considering driver characteristics
W Yang, L Zheng, Y Li, Y Ren… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
In the background of autonomous driving at level 3 to level 4, an automated vehicle should
own smarter driving brain to face complicated transportation situations. In order to construct …
own smarter driving brain to face complicated transportation situations. In order to construct …