Long-term pedestrian trajectory prediction using mutable intention filter and warp LSTM

Z Huang, A Hasan, K Shin, R Li… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Trajectory prediction is one of the key capabilities for robots to safely navigate and interact
with pedestrians. Critical insights from human intention and behavioral patterns need to be …

Looking beyond two frames: End-to-end multi-object tracking using spatial and temporal transformers

T Zhu, M Hiller, M Ehsanpour, R Ma… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Tracking a time-varying indefinite number of objects in a video sequence over time remains
a challenge despite recent advances in the field. Most existing approaches are not able to …

Online monitoring for safe pedestrian-vehicle interactions

P Du, Z Huang, T Liu, T Ji, K Xu, Q Gao… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
As autonomous systems begin to operate amongst humans, methods for safe interaction
must be investigated. We consider an example of a small autonomous vehicle in a …

Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis

R Greer, S Desai, L Rakla… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
It is critical for vehicles to prevent any collisions with pedestrians. Current methods for
pedestrian collision prevention focus on integrating visual pedestrian detectors with …

Autonomous system safety: Towards targeted and scalable approaches for validation and behaviour analysis

PB Du - 2023 - ideals.illinois.edu
Autonomous systems are rapidly making their way into the physical domain, where they
have to interact with human users in unstructured and safety-critical scenarios. The …

Forschungsfronten und Herausforderungen im Autonomous Driving

DM Macht - 2019 - unipub.uni-graz.at
Zusammenfassung" Autonomous Driving" gilt als Megatrend für die „Mobilität der Zukunft
“und ist derzeit ein allgegenwärtiges Thema. Den ersten „Meilenstein “zur neuerlichen …

Entropy-based intention change detection with a multi-hypotheses filter

F Particke, C Hofmann, M Hiller, H Bey… - 2018 21st …, 2018 - ieeexplore.ieee.org
In the future, pedestrians and fully automated vehicles have to operate in an environment
they share. To minimize the risk for pedestrians, it is very important to predict precisely their …

[PDF][PDF] Predictive Pedestrian Awareness with Intention Uncertainties for Autonomous Driving

F Particke - 2020 - opus4.kobv.de
One of the biggest challenges in autonomous driving is situational awareness during
interaction with pedestrians where the situation as a whole has to be estimated looking …