Multimodal multi-pedestrian path prediction for autonomous cars
Accurate prediction of the future position of pedestrians in traffic scenarios is required for
safe navigation of an autonomous vehicle but remains a challenge. This concerns, in …
safe navigation of an autonomous vehicle but remains a challenge. This concerns, in …
M2p3: multimodal multi-pedestrian path prediction by self-driving cars with egocentric vision
Accurate prediction of the future position of pedestrians in traffic scenarios is required for
safe navigation of an autonomous vehicle but remains a challenge. This concerns, in …
safe navigation of an autonomous vehicle but remains a challenge. This concerns, in …
A Novel Benchmarking Paradigm and a Scale-and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction
A Rasouli - arXiv preprint arXiv:2310.10424, 2023 - arxiv.org
Predicting pedestrian behavior is one of the main challenges for intelligent driving systems.
In this paper, we present a new paradigm for evaluating egocentric pedestrian trajectory …
In this paper, we present a new paradigm for evaluating egocentric pedestrian trajectory …
[HTML][HTML] Behavior-aware pedestrian trajectory prediction in ego-centric camera views with spatio-temporal ego-motion estimation
With the ongoing development of automated driving systems, the crucial task of predicting
pedestrian behavior is attracting growing attention. The prediction of future pedestrian …
pedestrian behavior is attracting growing attention. The prediction of future pedestrian …
Egocentric vision-based future vehicle localization for intelligent driving assistance systems
Predicting the future location of vehicles is essential for safety-critical applications such as
advanced driver assistance systems (ADAS) and autonomous driving. This paper introduces …
advanced driver assistance systems (ADAS) and autonomous driving. This paper introduces …
Context-aware pedestrian trajectory prediction with multimodal transformer
H Damirchi, M Greenspan… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We propose a novel solution for predicting future trajectories of pedestrians. Our method
uses a multimodal encoder-decoder transformer architecture, which takes as input both …
uses a multimodal encoder-decoder transformer architecture, which takes as input both …
[HTML][HTML] Multiagent multimodal trajectory prediction in urban traffic scenarios using a neural network-based solution
AI Patachi, F Leon - Mathematics, 2023 - mdpi.com
Trajectory prediction in urban scenarios is critical for high-level automated driving systems.
However, this task is associated with many challenges. On the one hand, a scene typically …
However, this task is associated with many challenges. On the one hand, a scene typically …
Uncertainty-aware short-term motion prediction of traffic actors for autonomous driving
We address one of the crucial aspects necessary for safe and efficient operations of
autonomous vehicles, namely predicting future state of traffic actors in the autonomous …
autonomous vehicles, namely predicting future state of traffic actors in the autonomous …
Pedestrian and ego-vehicle trajectory prediction from monocular camera
Predicting future pedestrian trajectory is a crucial component of autonomous driving
systems, as recognizing critical situations based only on current pedestrian position may …
systems, as recognizing critical situations based only on current pedestrian position may …
VOSTN: Variational One-shot Transformer Network for Pedestrian Trajectory Prediction
J Wang, H Sang, W Chen, Z Zhao - Physica Scripta, 2024 - iopscience.iop.org
The accurate and reliable prediction of pedestrian future trajectories is of crucial significance
for ensuring the safe navigation of autonomous driving systems. This paper introduces a …
for ensuring the safe navigation of autonomous driving systems. This paper introduces a …