ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.10119
  4. Cited By
Variational End-to-End Navigation and Localization

Variational End-to-End Navigation and Localization

25 November 2018
Alexander Amini
Guy Rosman
S. Karaman
Daniela Rus
ArXivPDFHTML

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

21 / 21 papers shown
Title
iKap: Kinematics-aware Planning with Imperative Learning
iKap: Kinematics-aware Planning with Imperative Learning
Qihang Li
Zhuoqun Chen
Haoze Zheng
Haonan He
Shaoshu Su
Junyi Geng
Chen Wang
Chen Wang
93
4
0
12 Dec 2024
Learning autonomous driving from aerial imagery
Learning autonomous driving from aerial imagery
Varun Murali
Guy Rosman
S. Karaman
Daniela Rus
SSL
21
1
0
18 Oct 2024
Joint Localization and Planning using Diffusion
Joint Localization and Planning using Diffusion
Lukas Lao Beyer
S. Karaman
33
0
0
26 Sep 2024
Learning Stability Attention in Vision-based End-to-end Driving Policies
Learning Stability Attention in Vision-based End-to-end Driving Policies
Tsun-Hsuan Wang
Wei Xiao
Makram Chahine
Alexander Amini
Ramin Hasani
Daniela Rus
10
5
0
05 Apr 2023
Learned Risk Metric Maps for Kinodynamic Systems
Learned Risk Metric Maps for Kinodynamic Systems
R. Allen
Wei Xiao
Daniela Rus
19
1
0
28 Feb 2023
Safe Real-World Autonomous Driving by Learning to Predict and Plan with
  a Mixture of Experts
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
18
36
0
03 Nov 2022
Differentiable Control Barrier Functions for Vision-based End-to-End
  Autonomous Driving
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
20
26
0
04 Mar 2022
Learning Interactive Driving Policies via Data-driven Simulation
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
Trajectory Prediction with Linguistic Representations
Trajectory Prediction with Linguistic Representations
Yen-Ling Kuo
Xin Huang
Andrei Barbu
Stephen G. McGill
Boris Katz
J. Leonard
Guy Rosman
21
16
0
19 Oct 2021
Deep Federated Learning for Autonomous Driving
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
23
109
0
12 Oct 2021
Domain Generalization for Vision-based Driving Trajectory Generation
Domain Generalization for Vision-based Driving Trajectory Generation
Yunkai Wang
Dongkun Zhang
Yuxiang Cui
Zexi Chen
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
23
3
0
22 Sep 2021
Failing with Grace: Learning Neural Network Controllers that are
  Boundedly Unsafe
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe
Panagiotis Vlantis
Leila J. Bridgeman
Michael M. Zavlanos
25
0
0
22 Jun 2021
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and
  Sequence-based Place Recognition
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
Marvin Chancán
Michael Milford
ViT
6
17
0
17 Nov 2020
Multi-modal Experts Network for Autonomous Driving
Multi-modal Experts Network for Autonomous Driving
Shihong Fang
A. Choromańska
MoE
13
5
0
18 Sep 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic
  Environments with Multimodal Sensor Fusion
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
Peide Cai
Sukai Wang
Yuxiang Sun
Ming-Yu Liu
36
70
0
05 May 2020
A Survey of End-to-End Driving: Architectures and Training Methods
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
8
228
0
13 Mar 2020
Learning to Walk in the Real World with Minimal Human Effort
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha
P. Xu
Zhenyu Tan
Sergey Levine
Jie Tan
17
169
0
20 Feb 2020
DeepGoal: Learning to Drive with driving intention from Human Control
  Demonstration
DeepGoal: Learning to Drive with driving intention from Human Control Demonstration
Huifang Ma
Yue Wang
R. Xiong
S. Kodagoda
Li Tang
15
6
0
28 Nov 2019
CityLearn: Diverse Real-World Environments for Sample-Efficient
  Navigation Policy Learning
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning
Marvin Chancán
Michael Milford
SSL
11
5
0
10 Oct 2019
Combining Optimal Control and Learning for Visual Navigation in Novel
  Environments
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
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
18
25
0
11 Sep 2018
1