Fetching the paper…
Reading the bibliography…
High-definition maps (HD maps) are a key component of most modern self-driving systems due to their valuable semantic and geometric information.
Using occupancy grids for mobile robot perception and navigation
Alberto Elfes · 1989
Earlier work this paper cites.
Alvinn: An autonomous land vehicle in a neural network
Dean A Pomerleau · 1989
Earlier work this paper cites.
Congested traffic states in empirical observations and microscopic simulations
Martin Treiber, Ansgar Hennecke, and Dirk Helbing · 2000
Earlier work this paper cites.
Learning occupancy grid maps with forward sensor models
Sebastian Thrun · 2003
Earlier work this paper cites.
Maximum margin planning
Nathan D Ratliff, J Andrew Bagnell, and Martin A Zinkevich · 2006
Earlier work this paper cites.
Optimal trajectory generation for dynamic street scenarios in a frenet frame
Moritz Werling, Julius Ziegler, Sören Kammel, and Sebastian Thrun · 2010
Earlier work this paper cites.
A reduction of imitation learning and structured prediction to no-regret online learning
Stéphane Ross, Geoffrey Gordon, and Drew Bagnell · 2011
Earlier work this paper cites.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
Multi-scale context aggregation by dilated convolutions
Fisher Yu and Vladlen Koltun · 2015
Earlier work this paper cites.
End to end learning for self-driving cars
Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, et al · 2016
Earlier work this paper cites.
Deeproadmapper: Extracting road topology from aerial images
Gellért Máttyus, Wenjie Luo, and Raquel Urtasun · 2017
Earlier work this paper cites.
The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles?
Philip Polack, Florent Altché, Brigitte d’Andréa Novel, and Arnaud de La Fortelle · 2017
Earlier work this paper cites.
Search-based optimal motion planning for automated driving
Zlatan Ajanovic, Bakir Lacevic, Barys Shyrokau, Michael Stolz, and Martin Horn · 2018
Earlier work this paper cites.
Deep multi-sensor lane detection
Min Bai, Gellert Mattyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, and Raquel Urtasun · 2018
Earlier work this paper cites.
Roadtracer: Automatic extraction of road networks from aerial images
Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, and David DeWitt · 2018
Earlier work this paper cites.
Intentnet: Learning to predict intention from raw sensor data
Sergio Casas, Wenjie Luo, and Raquel Urtasun · 2018
Earlier work this paper cites.
End-to-end driving via conditional imitation learning
Felipe Codevilla, Matthias Miiller, Antonio López, Vladlen Koltun, and Alexey Dosovitskiy · 2018
Earlier work this paper cites.
An auto-tuning framework for autonomous vehicles
Haoyang Fan, Zhongpu Xia, Changchun Liu, Yaqin Chen, and Qi Kong · 2018
Earlier work this paper cites.
Dynamic occupancy grid prediction for urban autonomous driving: A deep learning approach with fully automatic labeling
Stefan Hoermann, Martin Bach, and Klaus Dietmayer · 2018
Earlier work this paper cites.
Hierarchical recurrent attention networks for structured online maps
Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, and Raquel Urtasun · 2018
Cited alongside, same era.
Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, and Amar Shah · 2018
Cited alongside, same era.
An intriguing failing of convolutional neural networks and the coordconv solution
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, and Jason Yosinski · 2018
Cited alongside, same era.
Fast and furious: Real time end-to-end 3d detection, tracking and motion forecasting with a single convolutional net
Wenjie Luo, Bin Yang, and Raquel Urtasun · 2018
Cited alongside, same era.
Driving policy transfer via modularity and abstraction
Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, and Vladen Koltun · 2018
Lasernet: An efficient probabilistic 3d object detector for autonomous driving
Gregory P Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, and Carl K Wellington · 2019
Later among the works it cites.
Covernet: Multimodal behavior prediction using trajectory sets
Tung Phan-Minh, Elena Corina Grigore, Freddy A Boulton, Oscar Beijbom, and Eric M Wolff · 2019
Later among the works it cites.
Jointly learnable behavior and trajectory planning for self-driving vehicles
Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, and Raquel Urtasun · 2019
Later among the works it cites.
Multiple futures prediction
Charlie Tang and Russ R Salakhutdinov · 2019
Later among the works it cites.
End-to-end interpretable neural motion planner
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, and Raquel Urtasun · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting
Nicholas Rhinehart, Kris M Kitani, and Paul Vernaza · 2018
Cited alongside, same era.
Deep imitative models for flexible inference, planning, and control
Nicholas Rhinehart, Rowan McAllister, and Sergey Levine · 2018
Cited alongside, same era.
Group normalization
Yuxin Wu and Kaiming He · 2018
Cited alongside, same era.
Pixor: Real-time 3d object detection from point clouds
Bin Yang, Wenjie Luo, and Raquel Urtasun · 2018
Cited alongside, same era.
Learning to predict ego-vehicle poses for sampling-based nonholonomic motion planning
Holger Banzhaf, Paul Sanzenbacher, Ulrich Baumann, and J. Marius Zöllner · 2019
Cited alongside, same era.
Spatially-aware graph neural networks for relational behavior forecasting from sensor data
Sergio Casas, Cole Gulino, Renjie Liao, and Raquel Urtasun · 2019
Cited alongside, same era.
Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
Yuning Chai, Benjamin Sapp, Mayank Bansal, and Dragomir Anguelov · 2019
Cited alongside, same era.
Multi-agent tensor fusion for contextual trajectory prediction
Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, and Ying Nian Wu · 2019
Later among the works it cites.
End-to-end multi-view fusion for 3d object detection in lidar point clouds
Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, and Vijay Vasudevan · 2019
Later among the works it cites.
Implicit latent variable model for scene-consistent motion forecasting
Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, and Raquel Urtasun · 2020
Later among the works it cites.
The importance of prior knowledge in precise multimodal prediction
Sergio Casas, Cole Gulino, Simon Suo, and Raquel Urtasun · 2020
Later among the works it cites.
Strobe: Streaming object detection from lidar packets
Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, and Raquel Urtasun · 2020
Later among the works it cites.
Gen-lanenet: A generalized and scalable approach for 3d lane detection
Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, and Tae Eun Choe · 2020
Later among the works it cites.
End-to-end contextual perception and prediction with interaction transformer
Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, and Raquel Urtasun · 2020
Later among the works it cites.
The garden of forking paths: Towards multi-future trajectory prediction
Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, and Alexander Hauptmann · 2020
Later among the works it cites.
Pnpnet: End-to-end perception and prediction with tracking in the loop
Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, and Raquel Urtasun · 2020
Later among the works it cites.
Lidarsim: Realistic lidar simulation by leveraging the real world
Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, and Raquel Urtasun · 2020
Later among the works it cites.
Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d
Jonah Philion and Sanja Fidler · 2020
Later among the works it cites.
Scene compliant trajectory forecast with agent-centric spatio-temporal grids
Daniela Ridel, Nachiket Deo, Denis Wolf, and Mohan Trivedi · 2020
Later among the works it cites.
Perceive, predict, and plan: Safe motion planning through interpretable semantic representations
Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, and Raquel Urtasun · 2020
Later among the works it cites.
Motionnet: Joint perception and motion prediction for autonomous driving based on bird’s eye view maps
Pengxiang Wu, Siheng Chen, and Dimitris N Metaxas · 2020
Later among the works it cites.