Social interactions for autonomous driving: A review and perspectives
No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …
their goals in social traffic scenes. A rational human driver can interact with other road users …
Stochastic trajectory prediction via motion indeterminacy diffusion
Human behavior has the nature of indeterminacy, which requires the pedestrian trajectory
prediction system to model the multi-modality of future motion states. Unlike existing …
prediction system to model the multi-modality of future motion states. Unlike existing …
Socialvae: Human trajectory prediction using timewise latents
Predicting pedestrian movement is critical for human behavior analysis and also for safe and
efficient human-agent interactions. However, despite significant advancements, it is still …
efficient human-agent interactions. However, despite significant advancements, it is still …
Towards robust and adaptive motion forecasting: A causal representation perspective
Learning behavioral patterns from observational data has been a de-facto approach to
motion forecasting. Yet, the current paradigm suffers from two shortcomings: brittle under …
motion forecasting. Yet, the current paradigm suffers from two shortcomings: brittle under …
THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction
T Schreiter, T Rodrigues de Almeida… - … Journal of Robotics …, 2024 - journals.sagepub.com
We present a new large dataset of indoor human and robot navigation and interaction,
called THÖR-MAGNI, that is designed to facilitate research on social human navigation: for …
called THÖR-MAGNI, that is designed to facilitate research on social human navigation: for …
Macformer: Map-agent coupled transformer for real-time and robust trajectory prediction
C Feng, H Zhou, H Lin, Z Zhang, Z Xu… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Predicting the future behavior of agents is a fundamental task in autonomous vehicle
domains. Accurate prediction relies on comprehending the surrounding map, which …
domains. Accurate prediction relies on comprehending the surrounding map, which …
Cav3: Cache-assisted viewport adaptive volumetric video streaming
Volumetric video (VV) recently emerges as a new form of video application providing a
photorealistic immersive 3D viewing experience with 6 degree-of-freedom (DoF), which …
photorealistic immersive 3D viewing experience with 6 degree-of-freedom (DoF), which …
How does traffic environment quantitatively affect the autonomous driving prediction?
Accurate trajectory prediction is essential for safe and efficient autonomous driving in
complex traffic environments. While artificial intelligence has shown great promise in …
complex traffic environments. While artificial intelligence has shown great promise in …
Interventional behavior prediction: Avoiding overly confident anticipation in interactive prediction
Conditional behavior prediction (CBP) builds up the foundation for a coherent interactive
prediction and plan-ning framework that can enable more efficient and less conser-vative …
prediction and plan-ning framework that can enable more efficient and less conser-vative …
A benchmark for unsupervised anomaly detection in multi-agent trajectories
Human intuition allows to detect abnormal driving scenarios in situations they never
experienced before. Like humans detect those abnormal situations and take counter …
experienced before. Like humans detect those abnormal situations and take counter …