Pedestrian trajectory prediction in pedestrian-vehicle mixed environments: A systematic review

M Golchoubian, M Ghafurian… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Planning an autonomous vehicle's (AV) path in a space shared with pedestrians requires
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …

A review of deep learning-based methods for pedestrian trajectory prediction

BI Sighencea, RI Stanciu, CD Căleanu - Sensors, 2021 - mdpi.com
Pedestrian trajectory prediction is one of the main concerns of computer vision problems in
the automotive industry, especially in the field of advanced driver assistance systems. The …

Defining interactions: A conceptual framework for understanding interactive behaviour in human and automated road traffic

G Markkula, R Madigan, D Nathanael… - Theoretical Issues in …, 2020 - Taylor & Francis
Rapid advances in technology for highly automated vehicles (HAVs) have raised concerns
about coexistence of HAVs and human road users. Although there is a long tradition of …

A survey on simulators for testing self-driving cars

P Kaur, S Taghavi, Z Tian, W Shi - 2021 Fourth International …, 2021 - ieeexplore.ieee.org
Rigorous and comprehensive testing plays a key role in training self-driving cars to handle a
variety of situations that they are expected to see on public roads. The physical testing on …

Set-based prediction of traffic participants considering occlusions and traffic rules

M Koschi, M Althoff - IEEE Transactions on Intelligent Vehicles, 2020 - ieeexplore.ieee.org
Provably safe motion planning for automated road vehicles must ensure that planned
motions do not result in a collision with other traffic participants. This is a major challenge in …

Interaction-aware decision-making for automated vehicles using social value orientation

L Crosato, HPH Shum, ESL Ho… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Motion control algorithms in the presence of pedestrians are critical for the development of
safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on …

Pedestrian models for autonomous driving Part I: low-level models, from sensing to tracking

F Camara, N Bellotto, S Cosar… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] 自主导航地图的昨天, 今天和明天

孟立秋 - 2022 - xb.chinasmp.com
本文以无人驾驶技术的演化背景为出发点, 总结自主导航地图, 即高精地图的概念,
与普通导航地图的区别, 内容组成及数据来源. 在此基础上, 论述了高精制图流程的主要模块 …

[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 …

Evaluating pedestrian interaction preferences with a game theoretic autonomous vehicle in virtual reality

F Camara, P Dickinson, C Fox - … research part F: traffic psychology and …, 2021 - Elsevier
Localisation and navigation of autonomous vehicles (AVs) in static environments are now
solved problems, but how to control their interactions with other road users in mixed traffic …