Collect some papers about event-based Autonomous Driving & Event-based Robotic-Grasping.
If you find some overlooked papers, please open issues or pull requests (recommended).
- Gallego, G., Delbruck, T., Orchard, G., Bartolozzi, C., Taba, B., Censi, A., Leutenegger, S., Davison, A., Conradt, J., Daniilidis, K., Scaramuzza, D.,
Event-based Vision: A Survey,
IEEE Trans. Pattern Anal. Machine Intell. (TPAMI), 2020. - Chen, G., Cao, H., Conradt, J., Tang, H., Rohrbein, F., Knoll, A.,
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception,
IEEE Signal Processing Magazine, 37(4):34-49, 2020.
- Cheng, W., Luo, H., Yang, W., Yu, L., Chen, S., Li, W.,
DET: A High-resolution DVS Dataset for Lane Extraction,
IEEE Conf. Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. Project page. - N-CARS Dataset: A large real-world event-based dataset for car classification. Sironi et al., CVPR 2018.
- Zhu, A., Thakur, D., Ozaslan, T., Pfrommer, B., Kumar, V., Daniilidis, K.,
The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception,
IEEE Robotics and Automation Letters (RA-L), 3(3):2032-2039, Feb. 2018. PDF, Dataset, YouTube. - Binas, J., Neil, D., Liu, S.-C., Delbruck, T.,
DDD17: End-To-End DAVIS Driving Dataset,
Int. Conf. Machine Learning, Workshop on Machine Learning for Autonomous Vehicles, 2017. Dataset - Hu, Y., Binas, J., Neil, D., Liu, S.-C., Delbruck, T.,
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction,
IEEE Intelligent Transportation Systems Conf. (ITSC), 2020. Dataset, More datasets - Klenk S., Chui, J., Demmel, N., Cremers, D.,
TUM-VIE: The TUM Stereo Visual-Inertial Event Data Set,
IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS), 2021. - de Tournemire, P., Nitti, D., Perot, E., Migliore, D., Sironi, A.,
A Large Scale Event-based Detection Dataset for Automotive,
arXiv, 2020. Code, News - Perot, E., de Tournemire, P., Nitti, D., Masci, J., Sironi, A., 1Mpx Detection Dataset: Learning to Detect Objects with a 1 Megapixel Event Camera. NeurIPS 2020.
- Gehrig, M., Aarents, W., Gehrig, D., Scaramuzza, D.,
DSEC: A Stereo Event Camera Dataset for Driving Scenarios,
IEEE Robotics and Automation Letters (RA-L), 2021. Dataset, PDF, Code, Video. - Chen, G., Wang, F., Li, W., Hong, L., Conradt, J., Chen, J., Zhang, Z., Lu, Y., Knoll, A.,
NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations,
IEEE Trans. Intelligent Transportation Systems (TITS), 2020.
- Bin Li, Hu Cao*, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang,
Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset,
Frontiers in Neurorobotics, 2021. Dataset. - Hu Cao , Guang Chen , Zhijun Li , Yingbai Hu , Alois Knoll,
NeuroGrasp: Multimodal Neural Network With Euler Region Regression for Neuromorphic Vision-Based Grasp Pose Estimation,
IEEE Transactions on Instrumentation and Measurement (TIM), 2021. Dataset.
- Hidalgo-Carrió J., Gehrig D., Scaramuzza, D.,
Learning Monocular Dense Depth from Events,
IEEE Int. Conf. on 3D Vision (3DV), 2020. PDF, YouTube, Code, Project Page. - Gehrig, D., Rüegg, M., Gehrig, M., Hidalgo-Carrió J., Scaramuzza, D.,
Combining Events and Frames Using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction,
IEEE Robotics and Automation Letters (RA-L), 2021. PDF, Code, Project Page. - Alonso I., Murillo A.,
EV-SegNet: Semantic Segmentation for Event-based Cameras,
IEEE Conf. Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. PDF. Project page. Video pitch - Wang, L., Chae, Y., Yoon, S.-H., Kim, T.-K., Yoon, K.-J.,
EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation,
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2021. Code. - Chen, G., Cao, H., Ye, C., Zhang, Z., Liu, X., Mo, X., Qu, Z., Conradt, J., Röhrbein, F., Knoll, A.,
Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors,
Front. Neurorobot. 13:10, 2019. - Jiang, Z., Xia, P., Huang, K., Stechele, W., Chen, G., Bing, Z., Knoll, A.,
Mixed Frame-/Event-Driven Fast Pedestrian Detection,
IEEE Int. Conf. Robotics and Automation (ICRA), 2019. - Li, J., Dong, S., Yu, Z., Tian, Y., Huang, T.,
Event-Based Vision Enhanced: A Joint Detection Framework in Autonomous Driving,
IEEE Int. Conf. Multimedia and Expo (ICME), 2019. - Perot, E., de Tournemire, P., Nitti, D., Masci, J., Sironi, A.,
Learning to Detect Objects with a 1 Megapixel Event Camera,
Advances in Neural Information Processing Systems 33 (NeurIPS), 2020. 1Mpx Detection Dataset - Kim, J., Bae, J., Park, G., Zhang, D., and Kim, Y.,
N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras,
IEEE Int. Conf. Computer Vision (ICCV), 2021. Suppl. Mat., Github Page, N-ImageNet Dataset. - Chen, G., Hong, L., Dong, J., Liu, P., Conradt, J., Knoll, A.,
EDDD: Event-based drowsiness driving detection through facial motion analysis with neuromorphic vision sensor,
IEEE Sensors Journal, 20(11):6170-6181, 2020. - Maqueda, A.I., Loquercio, A., Gallego, G., Garcia, N., Scaramuzza, D.,
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars,
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), 2018. PDF, Poster, YouTube. - Yuhuang Hu, Tobi Delbruck, Shih-Chii Liu,
Learning to Exploit Multiple Vision Modalities by Using Grafted Networks,
ECCV 2020. - Chen, G., Wang, F., Li, W., Hong, L., Conradt, J., Chen, J., Zhang, Z., Lu, Y., Knoll, A.,
NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations,
IEEE Trans. Intelligent Transportation Systems (TITS), 2020. - Hu Cao, Guang Chen, Jiahao Xia, Genghang Zhuang, Alois Knoll,
Fusion-based Feature Attention Gate Component for Vehicle Detection based on Event Camera,
IEEE Sensors Journal ( Volume: 21, Issue: 21, 01 November 2021). - Shixiong Zhang, Wenmin Wang, Honglei Li,Shenyong Zhang,
Fusing Asynchronous Event and Synchronization Frame Data with Multi-layer Feature Attention Guided Filtering,
Research Square (June 30th, 2022). - Abhishek Tomy, Anshul Paigwar, Khushdeep S. Mann, Alessandro Renzaglia, Christian Laugier,
Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions,
2022 International Conference on Robotics and Automation (ICRA) (23-27 May 2022). - Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian,
Retinomorphic Object Detection in Asynchronous Visual Streams,
Proceedings of the AAAI Conference on Artificial Intelligence, 36(2), 1332-1340. - Munir Farzeen, Azam Shoaib, Jeon Moongu, Lee Byung-Geun, Pedrycz Witold,
LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor,
IEEE Transactions on Intelligent Transportation Systems ( Volume: 23, Issue: 7, July 2022). - Jianing Li, Jia Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian,
Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection,
IIEEE Transactions on Image Processing ( Volume: 31, 04 April 2022).
- Bin Li, Hu Cao*, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang,
Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset,
Frontiers in Neurorobotics, 2021. Dataset. - Hu Cao , Guang Chen , Zhijun Li , Yingbai Hu , Alois Knoll,
NeuroGrasp: Multimodal Neural Network With Euler Region Regression for Neuromorphic Vision-Based Grasp Pose Estimation,
IEEE Transactions on Instrumentation and Measurement (TIM), 2021. Dataset.