Fetching the paper…
Reading the bibliography…
We present an autonomous navigation system that operates without assuming HD LiDAR maps of the environment.
F. J. Richards, “A flexible growth function for empirical use,” Journal of experimental Botany , vol. 10, no. 2, pp. 290–301, 1959
1959
Earlier work this paper cites.
P. E. Hart, N. J. Nilsson, and B. Raphael, “A formal basis for the heuristic determination of minimum cost paths,” IEEE Transactions on Systems Science and Cybernetics , vol. 4, no. 2, pp. 100–107, 1968
1968
Earlier work this paper cites.
D. Fox, W. Burgard, F. Dellaert, and S. Thrun, “Monte carlo localization: Efficient position estimation for mobile robots,” in Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI’99) , 1999, pp. 343–349
1999
Earlier work this paper cites.
S. Thrun, “Probabilistic robotics,” Communications of the ACM , vol. 45, no. 3, pp. 52–57, 2002
2002
Earlier work this paper cites.
D. Fox, “Adapting the sample size in particle filters through kld-sampling,” International Journal of Robotics Research , vol. 22, no. 12, pp. 985–1003, 2003
2003
Earlier work this paper cites.
G. M. Hoffmann, C. J. Tomlin, M. Montemerlo, and S. Thrun, “Autonomous automobile trajectory tracking for off-road driving: Controller design, experimental validation and racing,” in 2007 American Control Conference , 2007, pp. 2296–2301
2007
Earlier work this paper cites.
M. Werling, J. Ziegler, S. Kammel, and S. Thrun, “Optimal trajectory generation for dynamic street scenarios in a frenét frame,” in 2010 IEEE International Conference on Robotics and Automation , 2010, pp. 987–993
2010
Earlier work this paper cites.
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun, “Carla: An open urban driving simulator,” in Proceedings of the 1st Annual Conference on Robot Learning , 2017, pp. 1–16
2017
Earlier work this paper cites.
T. Shan and B. Englot, “Lego-loam: Lightweight and ground-optimized lidar odometry and mapping on variable terrain,” in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2018, pp. 4758–4765
2018
Cited alongside, same era.
T. Ort, K. Murthy, R. Banerjee, S. K. Gottipati, D. Bhatt, I. Gilitschenski, L. Paull, and D. Rus, “Maplite: Autonomous intersection navigation without a detailed prior map,” IEEE Robotics and Automation Letters , vol. 5, no. 2, pp. 556–563, 2020
2020
Cited alongside, same era.
D. Pannen, M. Liebner, W. Hempel, and W. Burgard, “How to keep hd maps for automated driving up to date,” in 2020 IEEE International Conference on Robotics and Automation (ICRA) , 2020, pp. 2288–2294
2020
Cited alongside, same era.
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, G. Krueger, and I. Sutskever, “Clip: Connecting vision and language with localized narratives,” 2021
2021
E. Horváth, C. Pozna, and M. Unger, “Real-time lidar-based urban road and sidewalk detection for autonomous vehicles,” Sensors , vol. 22, no. 1, 2022. [Online]. Available: https://www.mdpi.com/1424-8220/22/1/194
2022
Later among the works it cites.
S. Ninan and S. Rathinam, “Road descriptors for fast global localization on rural roads using openstreetmaps,” 2023
2023
Closest in time.
X. Dong, J. Bao, Y. Zheng, T. Zhang, D. Chen, H. Yang, M. Zeng, W. Zhang, L. Yuan, D. Chen et al. , “Maskclip: Masked self-distillation advances contrastive language-image pretraining,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023, pp. 10 995–11 005
2023
Closest in time.
K. Jatavallabhula, A. Kuwajerwala, Q. Gu, M. Omama, T. Chen, S. Li, G. Iyer, S. Saryazdi, N. Keetha, A. Tewari, J. Tenenbaum, C. de Melo, M. Krishna, L. Paull, F. Shkurti, and A. Torralba, “Conceptfusion: Open-set multimodal 3d mapping,” RSS , 2023
2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
M. Elhousni, Z. Zhang, and X. Huang, “Lidar-osm-based vehicle localization in gps-denied environments by using constrained particle filter,” Sensors , vol. 22, no. 14, 2022. [Online]. Available: https://www.mdpi.com/1424-8220/22/14/5206
2022
Cited alongside, same era.
2022
Cited alongside, same era.
G. Ghiasi, X. Gu, Y. Cui, and T.-Y. Lin, “Scaling open-vocabulary image segmentation with image-level labels,” in European Conference on Computer Vision . Springer, 2022, pp. 540–557
2022
Cited alongside, same era.
N. M. M. Shafiullah, C. Paxton, L. Pinto, S. Chintala, and A. Szlam, “Clip-fields: Weakly supervised semantic fields for robotic memory,” RSS , 2022
2022
Cited alongside, same era.
C. Huang, O. Mees, A. Zeng, and W. Burgard, “Visual language maps for robot navigation,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) , London, UK, 2023
2023
Closest in time.
J. Kerr, C. M. Kim, K. Goldberg, A. Kanazawa, and M. Tancik, “Lerf: Language embedded radiance fields,” ICCV , 2023
2023
Closest in time.
T. Ort, L. Paull, and D. Rus, “Autonomous vehicle navigation in rural environments without detailed prior maps,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) , 2018, pp. 2040–2047
2047
Closest in time.