自动驾驶

Efficient Trajectory Planning for Multiple Non-holonomic Mobile Robots via Prioritized Trajectory Optimization

Juncheng Li, Maopeng Ran, Lihua Xie

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Comments 8 pages, to be published in IEEE Robotics and Automation Letters (RA-L), source code is available at: https://github.com/LIJUNCHENG001/multi_robot_traj_planner

Rule-based Optimal Control for Autonomous Driving

Wei Xiao, Noushin Mehdipour, Anne Collin, Amitai Bin-Nun, Emilio Frazzoli, Radboud Duintjer Tebbens, Calin Belta

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Comments accepted in ICCPS2021

Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation

Klemens Esterle, Tobias Kessler, Alois Knoll

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Comments Published at IEEE Intelligent Vehicles Symposium (IV), 2020

Communication-Aware Energy Efficient Trajectory Planning with Limited Channel Knowledge

D. Bonilla Licea, M. Bonilla, M. Ghogho, S. Lasaulce, V. S. Varma

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Comments IEEE Transactions on Robotics, Vol. 36, No. 2, pp. 431-442, April 2020

Search-Based Online Trajectory Planning for Car-like Robots in Highly Dynamic Environments

Jiahui Lin, Tong Zhou, Delong Zhu, Jianbang Liu, Max Q. -H. Meng

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze

Dongfang Liu, Yiming Cui, Xiaolei Guo, Wei Ding, Baijian Yang, Yingjie Chen

专题命中 规划控制 ：autonomous driving(title)；分类 cs.CV

Comments Accepted at ICPR 2020, 8 pages, 10 figures. Code will be released soon

Adaptive tracking control for task-based robot trajectory planning

Luis Trucios, Mahdi Tavakoli, Kim Adams

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Comments 5 pages, 6 figures, Robot Learning

Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach

Peng Hang, Chen Lv, Yang Xing, Chao Huang, Zhongxu Hu

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Comments Accepted by IEEE T-ITS

Bridging the Gap between Optimal Trajectory Planning and Safety-Critical Control with Applications to Autonomous Vehicles

Wei Xiao, Christos G. Cassandras, Calin A. Belta

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Comments 15 pages, Provisionally accepted in Automatica

Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior

Fanta Camara, Nicola Bellotto, Serhan Cosar, Florian Weber, Dimitris Nathanael, Matthias Althoff, Jingyuan Wu, Johannes Ruenz, André Dietrich, Gustav Markkula, Anna Schieben, Fabio Tango, Natasha Merat, Charles W. Fox

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Comments Accepted for publication in the IEEE Transactions on Intelligent Transportation Systems

Optimal Trajectory Planning for Flexible Robots with Large Deformation

M. Sajjad Edalatzadeh

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Safe Motion Planning for Autonomous Driving using an Adversarial Road Model

Alexander Liniger, Luc van Gool

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Comments Accepted at RSS 2020

Safe Planning for Self-Driving Via Adaptive Constrained ILQR

Yanjun Pan, Qin Lin, Het Shah, John M. Dolan

专题命中 规划控制 ：self-driving(title)；分类 cs.RO

Safe, Optimal, Real-time Trajectory Planning with a Parallel Constrained Bernstein Algorithm

Shreyas Kousik, Bohao Zhang, Pengcheng Zhao, Ram Vasudevan

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Comments 20 pages, 8 figures

Search-Based Motion Planning for Performance Autonomous Driving

Zlatan Ajanovic, Enrico Regolin, Georg Stettinger, Martin Horn, Antonella Ferrara

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Comments Accepted to IAVSD 2019

Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments

Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Journal ref IEEE Robotics and Automation Letters (Volume: 4, Issue: 2, April 2019)

Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes

Luka Petrović, Juraj Peršić, Marija Seder, Ivan Marković

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Comments Accepted to European Conference on Mobile Robots (ECMR) 2019

A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving

Shiwen Liu, Kan Zheng, Long Zhao, Pingzhi Fan

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Learning On-Road Visual Control for Self-Driving Vehicles with Auxiliary Tasks

Yilun Chen, Praveen Palanisamy, Priyantha Mudalige, Katharina Muelling, John M. Dolan

专题命中 规划控制 ：self-driving(title)；分类 cs.CV

Comments 2019 IEEE Winter Conference on Applications of Computer Vision (WACV 2019)

Collision-Free Multi Robot Trajectory Optimization in Unknown Environments using Decentralized Trajectory Planning

Vijay Arvindh, Govind Aadithya R, Shravan Krishnan, Sivanathan K

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Comments 6 pages,6 figures. To be Presented at 2018 IEEE 4th International Symposium in Robotics and Manufacturing Automation (ROMA)

Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications

Brian Paden, Peng Liu, Schuyler Cullen

专题命中 规划控制 ：autonomous driving(title)；分类 cs.AI

Deep Predictive Models for Collision Risk Assessment in Autonomous Driving

Mark Strickland, Georgios Fainekos, Heni Ben Amor

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Comments 8 pages, 4 figures

Trajectory Optimization for Curvature Bounded Non-Holonomic Vehicles: Application to Autonomous Driving

Mithun Babu, Yash Oza, C. A. Balaji, Arun Kumar Singh, Bharath Gopakarishnan, K. Madhava Kirshna

专题命中 规划控制 ：autonomous driving(title)；分类 cs.RO

Comments 7 pages

Path Homotopy Invariants and their Application to Optimal Trajectory Planning

Subhrajit Bhattacharya, Robert Ghrist

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Comments 17 pages, 9 figures

Fast and Bounded Probabilistic Collision Detection in Dynamic Environments for High-DOF Trajectory Planning

Chonhyon Park, Jae Sung Park, Dinesh Manocha

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Complete Decentralized Method for On-Line Multi-Robot Trajectory Planning in Valid Infrastructures

Michal Čáp, Jiří Vokřínek, Alexander Kleiner

专题命中 规划控制 ：trajectory planning(title)；分类 cs.RO

Comments Accepted to International Conference on Automated Planning and Scheduling 2015

Evolutionary Hyperparameter Optimization to Find Lightweight CNN Models for Autonomous Steering

进化超参数优化以寻找用于自主转向的轻量级CNN模型

Devson Butani, Ryan Kaddis, Chan-Jin Chung

专题命中 规划控制 ：autonomous driving(abstract)；self-driving(abstract)；分类 cs.RO、cs.CV

AI总结 采用(N+M)进化策略自动调优CNN超参数，在极小数据集上训练轻量级模型实现实时转向角预测，平衡计算效率与精度。

Comments 7 pages, 5 figures. Accepted at 2025 IEEE International Conference on Electro Information Technology (eIT). Author-accepted manuscript. Final published version: https://doi.org/10.1109/eIT64391.2025.11103679

ActMVS: Active Scene Reconstruction with Monocular Multi-View Stereo

ActMVS：基于单目多视图立体的主动场景重建

Guo Pu, Yixuan Han, Zhouhui Lian

机构 * Wangxuan Institute of Computer Technology, Peking University（北京大学王轩计算机技术研究所） 纠错

专题命中 规划控制 ：occupancy(abstract)；trajectory planning(abstract)；分类 cs.RO、cs.CV

AI总结 提出ActMVS框架，通过视图因子图构建和全局深度优化，实现单目相机在线生成高质量、全局一致的密集深度图，支持机器人/UAV的主动场景重建与安全轨迹规划。

Comments ICRA 2026

DiffCrossGait: Trajectory-Level Alignment for 2D-3D Cross-Modal Gait Recognition via Latent Diffusion

DiffCrossGait：基于潜在扩散的2D-3D跨模态步态识别轨迹级对齐

Zhiyang Lu, Ming Cheng

机构 * University of Science and Technology of China（中国科学技术大学） 纠错

专题命中 规划控制 ：LiDAR(abstract,abstract_cn)；分类 cs.CV、cs.AI

AI总结 针对2D-3D跨模态步态识别中的域差异问题，提出DiffCrossGait，通过潜在扩散空间中的轨迹级对齐实现连续模态对齐，并引入三阶段对齐策略确保身份锚定、动态一致性和跨模态结构可恢复性，在SUSTech1K和FreeGait基准上达到最优性能。

Comments Accepted by ICML2026

Cross-Stage Coherence in Hierarchical Driving VQA: Explicit Baselines and Learned Gated Context Projectors

层次驾驶视觉问答中的跨阶段一致性：显式基线与学习门控上下文投影

Gautam Kumar Jain, Carsten Markgraf, Julian Stähler

机构 * Technische Hochschule Augsburg（亚琛工业大学） 纠错

专题命中 规划控制 ：autonomous driving(abstract,abstract_cn)；分类 cs.CV、cs.AI

AI总结 本文研究了驾驶场景中跨阶段上下文传递的两种方法，显式基线通过无额外训练的4B VLM减少矛盾，隐式基线通过门控投影提升规划阶段语义一致性，两者共同探讨了领域适应在全谱改进中的潜力。

Comments 16 pages, 8 figures, 8 tables, preprint