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In the field of autonomous driving, two important features of autonomous driving car systems are the explainability of decision logic and the accuracy of environmental perception.
Stanley: The robot that won the darpa grand challenge
Sebastian Thrun, Mike Montemerlo, Hendrik Dahlkamp, David Stavens, Andrei Aron, James Diebel, Philip Fong, John Gale, Morgan Halpenny, Gabriel Hoffmann, et al · 2006
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The stanford entry in the urban challenge
M Montremerlo, J Beeker, S Bhat, and H Dahlkamp · 2008
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A synergy of the rosenblatt perceptron and the jordan recurrence principle
SS Yakovlev and Arkady N Borisov · 2009
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Stereo-camera-based urban environment perception using occupancy grid and object tracking
Thien-Nghia Nguyen, Bernd Michaelis, Ayoub Al-Hamadi, Michael Tornow, and Marc-Michael Meinecke · 2011
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Trajectory planning for automated parking using multi-resolution state roadmap considering non-holonomic constraints
Hiroshi Fuji, Jingyu Xiang, Yuichi Tazaki, Blaine Levedahl, and Tatsuya Suzuki · 2014
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Deepdriving: Learning affordance for direct perception in autonomous driving
Chenyi Chen, Ari Seff, Alain Kornhauser, and Jianxiong Xiao · 2015
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An empirical evaluation of deep learning on highway driving
Brody Huval, Tao Wang, Sameep Tandon, Jeff Kiske, Will Song, Joel Pazhayampallil, Mykhaylo Andriluka, Pranav Rajpurkar, Toki Migimatsu, Royce Cheng-Yue, et al · 2015
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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
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Peter Radecki, Mark Campbell, and Kevin Matzen · 2016
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Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy
Dan Barnes, Will Maddern, and Ingmar Posner · 2017
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Deep steering: Learning end-to-end driving model from spatial and temporal visual cues
Lu Chi and Yadong Mu · 2017
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Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Adding navigation to the equation: Turning decisions for end-to-end vehicle control
Christian Hubschneider, Andre Bauer, Michael Weber, and J Marius Zöllner · 2017
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Visualization of driving behavior based on hidden feature extraction by using deep learning
HaiLong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito Takenaka, and Takashi Bando · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection
Di Feng, Lars Rosenbaum, and Klaus Dietmayer · 2018
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Navigating occluded intersections with autonomous vehicles using deep reinforcement learning
David Isele, Reza Rahimi, Akansel Cosgun, Kaushik Subramanian, and Kikuo Fujimura · 2018
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Event-based vision meets deep learning on steering prediction for self-driving cars
Ana I Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso García, and Davide Scaramuzza · 2018
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Planning and decision-making for autonomous vehicles
Wilko Schwarting, Javier Alonso-Mora, and Daniela Rus · 2018
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Localization and navigation in autonomous driving: Threats and countermeasures
Qian Luo, Yurui Cao, Jiajia Liu, and Abderrahim Benslimane · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Talk to the vehicle: Language conditioned autonomous navigation of self driving cars
NN Sriram, Tirth Maniar, Jayaganesh Kalyanasundaram, Vineet Gandhi, Brojeshwar Bhowmick, and K Madhava Krishna · 2019
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Energy and policy considerations for deep learning in nlp
Emma Strubell, Ananya Ganesh, and Andrew McCallum · 2019
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End-to-end interpretable neural motion planner
Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, and Raquel Urtasun · 2019
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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Look both ways: Self-supervising driver gaze estimation and road scene saliency
Isaac Kasahara, Simon Stent, and Hyun Soo Park · 2022
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Differentiable raycasting for self-supervised occupancy forecasting
Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, and Deva Ramanan · 2022
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Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline
Penghao Wu, Xiaosong Jia, Li Chen, Junchi Yan, Hongyang Li, and Yu Qiao · 2022
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Rt-2: Vision-language-action models transfer web knowledge to robotic control
Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, et al · 2023
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Cited alongside, same era.
A survey of deep learning techniques for autonomous driving
Sorin Grigorescu, Bogdan Trasnea, Tiberiu Cocias, and Gigel Macesanu · 2020
Cited alongside, same era.
Human-like decision making for autonomous driving: A noncooperative game theoretic approach
Peng Hang, Chen Lv, Yang Xing, Chao Huang, and Zhongxu Hu · 2020
Cited alongside, same era.
Advisable learning for self-driving vehicles by internalizing observation-to-action rules
Jinkyu Kim, Suhong Moon, Anna Rohrbach, Trevor Darrell, and John Canny · 2020
Cited alongside, same era.
Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
Cited alongside, same era.
Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, and Trevor Darrell · 2020
Cited alongside, same era.
End-to-end autonomous driving: Challenges and frontiers
Li Chen, Penghao Wu, Kashyap Chitta, Bernhard Jaeger, Andreas Geiger, and Hongyang Li · 2023
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Language-guided 3d object detection in point cloud for autonomous driving
Wenhao Cheng, Junbo Yin, Wei Li, Ruigang Yang, and Jianbing Shen · 2023
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Semantic anomaly detection with large language models
Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa AD Nesnas, and Marco Pavone · 2023
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Vip3d: End-to-end visual trajectory prediction via 3d agent queries
Junru Gu, Chenxu Hu, Tianyuan Zhang, Xuanyao Chen, Yilun Wang, Yue Wang, and Hang Zhao · 2023
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Planning-oriented autonomous driving
Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, et al · 2023
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Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving
Zhiyu Huang, Haochen Liu, Jingda Wu, and Chen Lv · 2023
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A new path: Scaling vision-and-language navigation with synthetic instructions and imitation learning
Aishwarya Kamath, Peter Anderson, Su Wang, Jing Yu Koh, Alexander Ku, Austin Waters, Yinfei Yang, Jason Baldridge, and Zarana Parekh · 2023
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Gpt-driver: Learning to drive with gpt
Jiageng Mao, Yuxi Qian, Hang Zhao, and Yue Wang · 2023
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Openscene: 3d scene understanding with open vocabularies
Songyou Peng, Kyle Genova, Chiyu Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas Funkhouser, et al · 2023
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Safety-enhanced autonomous driving using interpretable sensor fusion transformer
Hao Shao, Letian Wang, Ruobing Chen, Hongsheng Li, and Yu Liu · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Drivegpt4: Interpretable end-to-end autonomous driving via large language model
Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kenneth KY Wong, Zhenguo Li, and Hengshuang Zhao · 2023
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The dawn of lmms: Preliminary explorations with gpt-4v (ision)
Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, and Lijuan Wang · 2023
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