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The aspiration of the next generation's autonomous driving (AD) technology relies on the dedicated integration and interaction among intelligent perception, prediction, planning, and low-level control.
Automated vehicle control developments in the path program
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Are we ready for autonomous driving? the kitti vision benchmark suite
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The cityscapes dataset for semantic urban scene understanding
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Object based scene representations using fisher scores of local subspace projections
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Carla: An open urban driving simulator
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The mapillary vistas dataset for semantic understanding of street scenes
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David Ha and Jürgen Schmidhuber · 2018
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The apolloscape open dataset for autonomous driving and its application
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Semantickitti: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, et al · 2019
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Argoverse: 3d tracking and forecasting with rich maps
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Mit advanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automation
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A novel scene classification model combining resnet based transfer learning and data augmentation with a filter
Shaopeng Liu, Guohui Tian, and Yuan Xu · 2019
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What’s there in the dark
Sauradip Nag, Saptakatha Adak, and Sukhendu Das · 2019
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nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, et al · 2020
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Scene recognition with prototype-agnostic scene layout
Gongwei Chen, Xinhang Song, Haitao Zeng, et al · 2020
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Keynote speaking: Inside nvidia’s ai infrastructure for self-driving cars, 2020
Clement Farabet and Nicolas Koumchatzky · 2020
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Dawn: vehicle detection in adverse weather nature dataset
Mourad A Kenk and Mahmoud Hassaballah · 2020
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Improving generative imagination in object-centric world models
Zhixuan Lin, Yi-Fu Wu, Skand Peri, et al · 2020
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Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, et al · 2020
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Bdd100k: A diverse driving dataset for heterogeneous multitask learning
Fisher Yu, Haofeng Chen, Xin Wang, et al · 2020
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nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles
Holger Caesar, Juraj Kabzan, Kok Seang Tan, et al · 2021
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Kitti-carla: a kitti-like dataset generated by carla simulator
Jean-Emmanuel Deschaud · 2021
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Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
Scott Ettinger, Shuyang Cheng, Benjamin Caine, et al · 2021
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One thousand and one hours: Self-driving motion prediction dataset
John Houston, Guido Zuidhof, Luca Bergamini, et al · 2021
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One million scenes for autonomous driving: Once dataset
Jiageng Mao, Minzhe Niu, Chenhan Jiang, et al · 2021
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Offboard 3d object detection from point cloud sequences
Charles R Qi, Yin Zhou, Mahyar Najibi, et al · 2021
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Argoverse 2: Next generation datasets for self-driving perception and forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal, et al · 2021
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Auto4d: Learning to label 4d objects from sequential point clouds
Bin Yang, Min Bai, Ming Liang, et al · 2021
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A survey on trajectory-prediction methods for autonomous driving
Yanjun Huang, Jiatong Du, Ziru Yang, et al · 2022
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Level-5 autonomous driving—are we there yet? a review of research literature
Manzoor Ahmed Khan, Hesham El Sayed, Sumbal Malik, et al · 2022
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End-to-end deep learning-based autonomous driving control for high-speed environment
Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving
Zhiyu Huang, Haochen Liu, Jingda Wu, et al · 2023
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Point cloud forecasting as a proxy for 4d occupancy forecasting
Tarasha Khurana, Peiyun Hu, David Held, et al · 2023
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Open-sourced data ecosystem in autonomous driving: the present and future
Hongyang Li, Yang Li, Huijie Wang, et al · 2023
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Delving into the devils of bird’s-eye-view perception: A review, evaluation and recipe
Hongyang Li, Chonghao Sima, Jifeng Dai, et al · 2023
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3d object detection from images for autonomous driving: A survey
Xinzhu Ma, Wanli Ouyang, Andrea Simonelli, et al · 2023
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Cheol-jin Kim, Myung-jae Lee, Kyu-hong Hwang, et al · 2022
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Time3d: End-to-end joint monocular 3d object detection and tracking for autonomous driving
Peixuan Li and Jieyu Jin · 2022
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Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d
Yiyi Liao, Jun Xie, and Andreas Geiger · 2022
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Retrieval augmented classification for long-tail visual recognition
Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, et al · 2022
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The radical scope of tesla’s data hoard: Every tesla is providing reams of sensitive data about its driver’s life
Harris M · 2022
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Verification and validation methods for decision-making and planning of automated vehicles: A review
Yining Ma, Chen Sun, Junyi Chen, et al · 2022
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Vision-based semantic segmentation in scene understanding for autonomous driving: Recent achievements, challenges, and outlooks
Khan Muhammad, Tanveer Hussain, Hayat Ullah, et al · 2022
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Chen Min, Xinli Xu, Dawei Zhao, et al · 2023
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Openscene: 3d scene understanding with open vocabularies
Songyou Peng, Kyle Genova, Chiyu Jiang, et al · 2023
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Nuscenes-qa: A multi-modal visual question answering benchmark for autonomous driving scenario
Tianwen Qian, Jingjing Chen, Linhai Zhuo, et al · 2023
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Drivelm: Driving with graph visual question answering, 2023
Chonghao Sima, Katrin Renz, Kashyap Chitta, et al · 2023
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A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas
Juan Terven, Diana-Margarita Córdova-Esparza, et al · 2023
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Scene as occupancy
Wenwen Tong, Chonghao Sima, Tai Wang, et al · 2023
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Drivedreamer: Towards real-world-driven world models for autonomous driving
Xiaofeng Wang, Zheng Zhu, Guan Huang, et al · 2023
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On the road with gpt-4v (ision): Early explorations of visual-language model on autonomous driving
Licheng Wen, Xuemeng Yang, Daocheng Fu, et al · 2023
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Language prompt for autonomous driving
Dongming Wu, Wencheng Han, Tiancai Wang, et al · 2023
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Transformation-equivariant 3d object detection for autonomous driving
Hai Wu, Chenglu Wen, Wei Li, et al · 2023
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Mv-map: Offboard hd-map generation with multi-view consistency
Ziyang Xie, Ziqi Pang, and Yu-Xiong Wang · 2023
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Yolov8: A new state-of-the-art computer vision model, 2023
Contributors YOLOv8 · 2023
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Ad-pt: Autonomous driving pre-training with large-scale point cloud dataset
Jiakang Yuan, Bo Zhang, Xiangchao Yan, et al · 2023
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Ai-tp: Attention-based interaction-aware trajectory prediction for autonomous driving
Kunpeng Zhang, Liang Zhao, Chengxiang Dong, et al · 2023
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Spatiotemporal adaptive attention 3d multiobject tracking for autonomous driving
Xiaofei Zhang, Zhengping Fan, Xiaojun Tan, et al · 2023
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Occworld: Learning a 3d occupancy world model for autonomous driving, 2023
Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, et al · 2023
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Dynamically conservative self-driving planner for long-tail cases
Weitao Zhou, Zhong Cao, Nanshan Deng, et al · 2023
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Nemo: Neural map growing system for spatiotemporal fusion in bird’s-eye-view and bdd-map benchmark
Xi Zhu, Xiya Cao, Zhiwei Dong, et al · 2023
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A survey on multimodal large language models for autonomous driving
Can Cui, Yunsheng Ma, Xu Cao, et al · 2024
Closest in time.
A survey on autonomous driving datasets: Data statistic, annotation, and outlook
Mingyu Liu, Ekim Yurtsever, Xingcheng Zhou, et al · 2024
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