Awesome Statistics — Computation — curated papers, datasets & benchmarks

Multipath-based SLAM Using Belief Propagation With Interacting Multiple Dynamic Models (2021)

Erik Leitinger, Stefan Grebien, Klaus Witrisal

7.16

Deep Gaussian Processes on Directed Acyclic Graphs (2026)

Federico L. Perlino et al.

5.49

cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data (2026)

Chun-houh Chen et al.

5.01

Layout Sequence Prediction From Noisy Mobile Modality (2023)

Haichao Zhang, Yi Xu, Hongsheng Lu, et al.

2.26

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving (2026)

Baoyun Wang et al.

1.83

Learning to Sample: Reinforcement Learning-Guided Sampling for Autonomous Vehicle Motion Planning (2025)

Korbinian Moller et al.

1.44

Astra: General Interactive World Model With Autoregressive Denoising (2025)

Yixuan Zhu, Jiaqi Feng, Wenzhao Zheng, et al.

1.28

EDGI: Equivariant Diffusion For Planning With Embodied Agents (2023)

Johann Brehmer, Joey Bose, Pim de Haan, et al.

0.00

Towards Cooperative Motion Planning for Automated Vehicles in Mixed Traffic (2017)

Maximilian Naumann and Christoph Stiller

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Revisiting the Asymptotic Optimality of RRT$^*$ (2019)

Kiril Solovey et al.

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Stochastic Motion Planning under Partial Observability for Mobile Robots with Continuous Range Measurements (2020)

Ke Sun et al.

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An Autonomous Driving Framework for Long-term Decision-making and Short-term Trajectory Planning on Frenet Space (2020)

Majid Moghadam et al.

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Learning from Experience for Rapid Generation of Local Car Maneuvers (2020)

Piotr Kicki et al.

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Closing the Planning-Learning Loop with Application to Autonomous Driving (2021)

Panpan Cai and David Hsu

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Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning (2021)

Julian Bernhard et al.

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Graph-based Motion Planning for Automated Vehicles using Multi-model Branching and Admissible Heuristics (2021)

Oliver Speidel et al.

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IA Planner: Motion Planning Using Instantaneous Analysis for Autonomous Vehicle in the Dense Dynamic Scenarios on Highways (2021)

Xiaoyu Yang and Huiyun Li

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A Reinforcement Learning based Path Planning Approach in 3D Environment (2021)

Geesara Kulathunga

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Probabilistic Guaranteed Path Planning for Safe Urban Air Mobility Using Chance Constrained RRT (2021)

Pengcheng Wu et al.

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SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments (2021)

Zongyuan Shen et al.

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Risk-Aware Motion Planning in Partially Known Environments (2021)

Fernando S. Barbosa et al.

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Multi-lane Cruising Using Hierarchical Planning and Reinforcement Learning (2021)

Kasra Rezaee et al.

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Stein Variational Probabilistic Roadmaps (2021)

Alexander Lambert et al.

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Neural Motion Planning for Autonomous Parking (2021)

Dongchan Kim and Kunsoo Huh

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Differentiable Spatial Planning using Transformers (2021)

Devendra Singh Chaplot et al.

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Regulations Aware Motion Planning for Autonomous Surface Vessels in Urban Canals (2022)

Jitske de Vries et al.

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Direct B\'ezier-Based Trajectory Planner for Improved Local Exploration of Unknown Environments (2022)

Lorenzo Gentilini et al.

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Experiments in Adaptive Replanning for Fast Autonomous Flight in Forests (2022)

Laura Jarin-Lipschitz et al.

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Ada-Detector: Adaptive Frontier Detector for Rapid Exploration (2022)

Zezhou Sun et al.

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Two-step Planning of Dynamic UAV Trajectories using Iterative $\delta$-Spaces (2022)

Sebastian Schr\"ader et al.

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Is it Worth to Reason about Uncertainty in Occupancy Grid Maps during Path Planning? (2022)

Jacopo Banfi et al.

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Parting with Misconceptions about Learning-based Vehicle Motion Planning (2023)

Daniel Dauner et al.

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PRP Rebooted: Advancing the State of the Art in FOND Planning (2023)

Christian Muise et al.

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End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023 (2024)

Gongjin Lan and Qi Hao

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Awesome Statistics — Computation

Datasets & benchmarks

Key papers

Statistics — Computation

Awesome Statistics — Computation

Datasets & benchmarks

Key papers