Variational End-to-End Navigation and Localization

25 November 2018

Daniela Rus

Papers citing "Variational End-to-End Navigation and Localization"

24 / 24 papers shown

Title
iKap: Kinematics-aware Planning with Imperative Learning Qihang Li Zhuoqun Chen Haoze Zheng Haonan He Shaoshu Su Junyi Geng Chen Wang Chen Wang 106 4 0 12 Dec 2024
Learning autonomous driving from aerial imagery Varun Murali Guy Rosman S. Karaman Daniela Rus SSL 26 1 0 18 Oct 2024
Joint Localization and Planning using Diffusion Lukas Lao Beyer S. Karaman 38 0 0 26 Sep 2024
Learning Stability Attention in Vision-based End-to-end Driving Policies Tsun-Hsuan Wang Wei Xiao Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 27 6 0 05 Apr 2023
Learned Risk Metric Maps for Kinodynamic Systems R. Allen Wei Xiao Daniela Rus 24 1 0 28 Feb 2023
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts S. Pini C. Perone Aayush Ahuja Ana Ferreira Moritz Niendorf Sergey Zagoruyko 26 36 0 03 Nov 2022
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models Marvin Klingner Konstantin Müller Mona Mirzaie Jasmin Breitenstein Jan-Aike Termöhlen Tim Fingscheidt 25 4 0 01 Jun 2022
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving Wei Xiao Tsun-Hsuan Wang Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 25 26 0 04 Mar 2022
Learning Interactive Driving Policies via Data-driven Simulation Tsun-Hsuan Wang Alexander Amini Wilko Schwarting Igor Gilitschenski S. Karaman Daniela Rus 19 20 0 23 Nov 2021
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles Alexander Amini Tsun-Hsuan Wang Igor Gilitschenski Wilko Schwarting Zhijian Liu Song Han S. Karaman Daniela Rus 16 98 0 23 Nov 2021
Trajectory Prediction with Linguistic Representations Yen-Ling Kuo Xin Huang Andrei Barbu Stephen G. McGill Boris Katz J. Leonard Guy Rosman 31 17 0 19 Oct 2021
Deep Federated Learning for Autonomous Driving A. Nguyen Tuong Khanh Long Do Minh-Ngoc Tran Binh X. Nguyen C. Duong T. Phan Erman Tjiputra Quang-Dieu Tran FedML 30 109 0 12 Oct 2021
Domain Generalization for Vision-based Driving Trajectory Generation Yunkai Wang Dongkun Zhang Yuxiang Cui Zexi Chen Wei Jing Junbo Chen R. Xiong Yue Wang 31 3 0 22 Sep 2021
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe Panagiotis Vlantis Leila J. Bridgeman Michael M. Zavlanos 40 0 0 22 Jun 2021
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition Marvin Chancán Michael Milford ViT 16 17 0 17 Nov 2020
Multi-modal Experts Network for Autonomous Driving Shihong Fang A. Choromańska MoE 20 5 0 18 Sep 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 31 65 0 01 Jul 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion Peide Cai Sukai Wang Yuxiang Sun Ming-Yu Liu 38 70 0 05 May 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 23 228 0 13 Mar 2020
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 27 169 0 20 Feb 2020
DeepGoal: Learning to Drive with driving intention from Human Control Demonstration Huifang Ma Yue Wang R. Xiong S. Kodagoda Li Tang 17 6 0 28 Nov 2019
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning Marvin Chancán Michael Milford SSL 22 5 0 10 Oct 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments Somil Bansal Varun Tolani Saurabh Gupta Jitendra Malik Claire Tomlin 13 162 0 06 Mar 2019
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks Ramin M. Hasani Alexander Amini Mathias Lechner Felix Naser Radu Grosu Daniela Rus 28 25 0 11 Sep 2018