Pedestrian models for autonomous driving part ii: high-level models of human behavior
Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
Crossing or not? Context-based recognition of pedestrian crossing intention in the urban environment
The booming self-driving cars need to understand the behaviors of other road users for
better performance. Recognizing pedestrians' crossing intentions is one of the most critical …
better performance. Recognizing pedestrians' crossing intentions is one of the most critical …
[HTML][HTML] Pedestrians' perceived vulnerability and observed behaviours relating to crossing and passing interactions with autonomous vehicles
LM Hulse - Transportation research part F: traffic psychology and …, 2023 - Elsevier
Researchers have predicted that “vulnerable road users”(VRUs) such as pedestrians will
feel less vulnerable and thus take more risks around autonomous vehicles (AVs) than …
feel less vulnerable and thus take more risks around autonomous vehicles (AVs) than …
Predicting pedestrians' intention to cross the road in front of automated vehicles in risky situations
Due to the absence of a human driver, the introduction of fully automated vehicles (FAVs)
may bring new safety challenges to the traffic system, especially when FAVs interact with …
may bring new safety challenges to the traffic system, especially when FAVs interact with …
Research on quantum cognition in autonomous driving
Q Song, W Wang, W Fu, Y Sun, D Wang, Z Gao - Scientific reports, 2022 - nature.com
Autonomous vehicles for the intention of human behavior of the estimated traffic participants
and their interaction is the main problem in automatic driving system. Classical cognitive …
and their interaction is the main problem in automatic driving system. Classical cognitive …
Trustfsdv: Framework for building and maintaining trust in self-driving vehicles
K Kuru - IEEE Access, 2022 - ieeexplore.ieee.org
The deployment of fully self-sufficient, self-driving vehicles (SDVs) to city roads in a diverse
range of benefit-driven concepts is on the horizon where the higher levels of automation with …
range of benefit-driven concepts is on the horizon where the higher levels of automation with …
Autonomous intersection management with pedestrians crossing
W Wu, Y Liu, W Hao, GA Giannopoulos… - … research part C: emerging …, 2022 - Elsevier
This paper is among the first to address the problem of pedestrians' crossing at an
autonomous intersection without traffic lights. To guarantee pedestrians' safety, all the …
autonomous intersection without traffic lights. To guarantee pedestrians' safety, all the …
Driver and pedestrian mutual awareness for path prediction and collision risk estimation
We present a novel method for vehicle-pedestrian path prediction that takes into account the
awareness of the driver and the pedestrian towards each other. The method jointly models …
awareness of the driver and the pedestrian towards each other. The method jointly models …
Toward Proactive-Aware Autonomous Driving: A Reinforcement Learning Approach Utilizing Expert Priors During Unprotected Turns
Given the complex nature of interaction under ambiguous right-of-way scenarios, the
interactions between Autonomous Vehicles (AVs) and Human-driven Vehicles (HVs) …
interactions between Autonomous Vehicles (AVs) and Human-driven Vehicles (HVs) …
Quantum decision making in automatic driving
Q Song, W Fu, W Wang, Y Sun, D Wang, J Zhou - Scientific reports, 2022 - nature.com
The behavior intention estimation and interaction between Autonomous Vehicles (AV) and
human traffic participants are the key problems in Automatic Driving System (ADS). When …
human traffic participants are the key problems in Automatic Driving System (ADS). When …