The safety filter: A unified view of safety-critical control in autonomous systems
Recent years have seen significant progress in the realm of robot autonomy, accompanied
by the expanding reach of robotic technologies. However, the emergence of new …
by the expanding reach of robotic technologies. However, the emergence of new …
[HTML][HTML] DESIGN and be SMART: Eleven engineering challenges to achieve sustainable air transportation under safety assurance in the year 2050
The aviation industry faces various challenges in meeting long-term sustainability goals
amidst surging demand for air travel and growing environmental concerns of the general …
amidst surging demand for air travel and growing environmental concerns of the general …
Adaptive trajectory prediction via transferable gnn
Pedestrian trajectory prediction is an essential component in a wide range of AI applications
such as autonomous driving and robotics. Existing methods usually assume the training and …
such as autonomous driving and robotics. Existing methods usually assume the training and …
Unitraj: A unified framework for scalable vehicle trajectory prediction
Vehicle trajectory prediction has increasingly relied on data-driven solutions, but their ability
to scale to different data domains and the impact of larger dataset sizes on their …
to scale to different data domains and the impact of larger dataset sizes on their …
Social-implicit: Rethinking trajectory prediction evaluation and the effectiveness of implicit maximum likelihood estimation
Abstract Best-of-N (BoN) Average Displacement Error (ADE)/Final Displacement Error (FDE)
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
is the most used metric for evaluating trajectory prediction models. Yet, the BoN does not …
Uncovering the missing pattern: Unified framework towards trajectory imputation and prediction
Trajectory prediction is a crucial undertaking in understanding entity movement or human
behavior from observed sequences. However, current methods often assume that the …
behavior from observed sequences. However, current methods often assume that the …
Synthetic datasets for autonomous driving: A survey
Z Song, Z He, X Li, Q Ma, R Ming, Z Mao… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Autonomous driving techniques have been flourishing in recent years while thirsting for
huge amounts of high-quality data. However, it is difficult for real-world datasets to keep up …
huge amounts of high-quality data. However, it is difficult for real-world datasets to keep up …
Street-view image generation from a bird's-eye view layout
Bird's-Eye View (BEV) Perception has received increasing attention in recent years as it
provides a concise and unified spatial representation across views and benefits a diverse …
provides a concise and unified spatial representation across views and benefits a diverse …
Fend: A future enhanced distribution-aware contrastive learning framework for long-tail trajectory prediction
Predicting the future trajectories of the traffic agents is a gordian technique in autonomous
driving. However, trajectory prediction suffers from data imbalance in the prevalent datasets …
driving. However, trajectory prediction suffers from data imbalance in the prevalent datasets …
Fed-grab: Federated long-tailed learning with self-adjusting gradient balancer
Data privacy and long-tailed distribution are the norms rather than the exception in many
real-world tasks. This paper investigates a federated long-tailed learning (Fed-LT) task in …
real-world tasks. This paper investigates a federated long-tailed learning (Fed-LT) task in …