A review of vision-based traffic semantic understanding in ITSs
J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …
situations and emergencies more accurately and provide a more accurate basis for anomaly …
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 …
reasoning about pedestrians' future trajectories. A practical pedestrian trajectory prediction …
On adversarial robustness of trajectory prediction for autonomous vehicles
Trajectory prediction is a critical component for autonomous vehicles (AVs) to perform safe
planning and navigation. However, few studies have analyzed the adversarial robustness of …
planning and navigation. However, few studies have analyzed the adversarial robustness of …
Emotion recognition for multiple context awareness
Understanding emotion in context is a rising hotspot in the computer vision community.
Existing methods lack reliable context semantics to mitigate uncertainty in expressing …
Existing methods lack reliable context semantics to mitigate uncertainty in expressing …
Forecasting trajectory and behavior of road-agents using spectral clustering in graph-lstms
We present a novel approach for traffic forecasting in urban traffic scenarios using a
combination of spectral graph analysis and deep learning. We predict both the low-level …
combination of spectral graph analysis and deep learning. We predict both the low-level …
Emoticon: Context-aware multimodal emotion recognition using frege's principle
We present EmotiCon, a learning-based algorithm for context-aware perceived human
emotion recognition from videos and images. Motivated by Frege's Context Principle from …
emotion recognition from videos and images. Motivated by Frege's Context Principle from …
Densecavoid: Real-time navigation in dense crowds using anticipatory behaviors
We present DenseCAvoid, a novel algorithm for navigating a robot through dense crowds
and avoiding collisions by anticipating pedestrian behaviors. Our formulation uses visual …
and avoiding collisions by anticipating pedestrian behaviors. Our formulation uses visual …
Autonomous social distancing in urban environments using a quadruped robot
Corona Virus Disease 2019 (COVID-19) pandemic has become a global challenge faced by
people all over the world. Social distancing has been proved to be an effective practice to …
people all over the world. Social distancing has been proved to be an effective practice to …
DGInet: Dynamic graph and interaction-aware convolutional network for vehicle trajectory prediction
J An, W Liu, Q Liu, L Guo, P Ren, T Li - Neural Networks, 2022 - Elsevier
This paper investigates vehicle trajectory prediction problems in real traffic scenarios by fully
harnessing the spatio-temporal dependencies between multiple vehicles. The existing GCN …
harnessing the spatio-temporal dependencies between multiple vehicles. The existing GCN …
Unlimited neighborhood interaction for heterogeneous trajectory prediction
Understanding complex social interactions among agents is a key challenge for trajectory
prediction. Most existing methods consider the interactions between pairwise traffic agents …
prediction. Most existing methods consider the interactions between pairwise traffic agents …