Copertina

Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Distelzweig, Aron, Look, Andreas, Kosman, Eitan, Janjoš, Faris, Wagner, Jörg, Valada, Abhinav
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Motion Forecasting via Model-Based Risk Minimization
di: Distelzweig, Aron, et al.
Pubblicazione: (2024)

Uncertainty Matters: Structured Probabilistic Online Mapping for Motion Prediction in Autonomous Driving
di: Gogoi, Pritom, et al.
Pubblicazione: (2026)

Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback
di: Hagedorn, Steffen, et al.
Pubblicazione: (2025)

Conditional Unscented Autoencoders for Trajectory Prediction
di: Janjoš, Faris, et al.
Pubblicazione: (2023)

Perfect Prediction or Plenty of Proposals? What Matters Most in Planning for Autonomous Driving
di: Distelzweig, Aron, et al.
Pubblicazione: (2025)

Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving
di: Distelzweig, Aron, et al.
Pubblicazione: (2026)

Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction
di: Marvi, Sajad, et al.
Pubblicazione: (2025)

Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response
di: Distelzweig, Aron, et al.
Pubblicazione: (2025)

When Planners Meet Reality: How Learned, Reactive Traffic Agents Shift nuPlan Benchmarks
di: Hagedorn, Steffen, et al.
Pubblicazione: (2025)

Open-World Motion Forecasting
di: Schischka, Nicolas, et al.
Pubblicazione: (2026)

Dynamic Intent Queries for Motion Transformer-based Trajectory Prediction
di: Demmler, Tobias, et al.
Pubblicazione: (2025)

Online Estimation and Manipulation of Articulated Objects
di: Buchanan, Russell, et al.
Pubblicazione: (2026)

Stochastic Trajectory Prediction under Unstructured Constraints
di: Ma, Hao, et al.
Pubblicazione: (2025)

Taxonomy-Aware Continual Semantic Segmentation in Hyperbolic Spaces for Open-World Perception
di: Hindel, Julia, et al.
Pubblicazione: (2024)

Whole-Body Teleoperation for Mobile Manipulation at Zero Added Cost
di: Honerkamp, Daniel, et al.
Pubblicazione: (2024)

The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
di: von Hartz, Jan Ole, et al.
Pubblicazione: (2025)

MSG: Multi-Stream Generative Policies for Sample-Efficient Robotic Manipulation
di: von Hartz, Jan Ole, et al.
Pubblicazione: (2025)

INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
di: Hindel, Julia, et al.
Pubblicazione: (2023)

Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
di: Abdelsamad, Mohamed, et al.
Pubblicazione: (2025)

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving
di: Liao, Haicheng, et al.
Pubblicazione: (2024)

Hyperspectral Adapter for Semantic Segmentation with Vision Foundation Models
di: Hurtado, Juana Valeria, et al.
Pubblicazione: (2025)

Sparse3DTrack: Monocular 3D Object Tracking Using Sparse Supervision
di: Gosala, Nikhil, et al.
Pubblicazione: (2026)

MORE: Mobile Manipulation Rearrangement Through Grounded Language Reasoning
di: Mohammadi, Mohammad, et al.
Pubblicazione: (2025)

Information-Theoretic Framework for Self-Adapting Model Predictive Controllers
di: Hafez, Wael, et al.
Pubblicazione: (2026)

Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation
di: Lu, Yao, et al.
Pubblicazione: (2026)

Synthesis of Dynamic Masks for Information-Theoretic Opacity in Stochastic Systems
di: Udupa, Sumukha, et al.
Pubblicazione: (2025)

Towards Consistent and Explainable Motion Prediction using Heterogeneous Graph Attention
di: Demmler, Tobias, et al.
Pubblicazione: (2024)

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach
di: Lu, Juanwu, et al.
Pubblicazione: (2024)

RetailOpt: Opt-In, Easy-to-Deploy Trajectory Estimation from Smartphone Motion Data and Retail Facility Information
di: Yonetani, Ryo, et al.
Pubblicazione: (2024)

Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach
di: Liao, Haicheng, et al.
Pubblicazione: (2025)

Leader and Follower: Interactive Motion Generation under Trajectory Constraints
di: Wang, Runqi, et al.
Pubblicazione: (2025)

Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies
di: Lee, Yonghyeon, et al.
Pubblicazione: (2024)

Spectral Alignment in Forward-Backward Representations via Temporal Abstraction
di: Azad, Seyed Mahdi B., et al.
Pubblicazione: (2026)

DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving
di: Xu, Yinda, et al.
Pubblicazione: (2023)

Relational Semantic Reasoning on 3D Scene Graphs for Open World Interactive Object Search
di: Mahdi, Imen, et al.
Pubblicazione: (2026)

ForecastOcc: Vision-based Semantic Occupancy Forecasting
di: Mohan, Riya, et al.
Pubblicazione: (2026)

Trajectory Entropy: Modeling Game State Stability from Multimodality Trajectory Prediction
di: Zhang, Yesheng, et al.
Pubblicazione: (2025)

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking
di: Luz, Maximilian, et al.
Pubblicazione: (2026)

Structured Diffusion Bridges: Inductive Bias for Denoising Diffusion Bridges
di: Kosman, Eitan, et al.
Pubblicazione: (2026)

PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving
di: Zhao, Zhipeng, et al.
Pubblicazione: (2024)