感知融合 awesome list

雷达聚类

雷达处理杂波滤除 CFAR (Constant False Alarm Rate):Lee, Jae-Eun, et al. "Harmonic clutter recognition and suppression for automotive radar sensors." International Journal of Distributed Sensor Networks 13.9 (2017):1550147717729793.
德州仪器详尽雷达资料: Tracking radar targets with multiple reflection points (Texas Instruments)
雷达鬼影检测: Sole, Amir, et al. "Solid or not solid: Vision for radar target validation." IEEE Intelligent Vehicles Symposium, 2004. IEEE, 2004.

目标级融合详细步骤 Chavez-Garcia, Ricardo Omar, and Olivier Aycard. "Multiple sensor fusion and classification for moving object detection and tracking." IEEE Transactions on Intelligent Transportation Systems 17.2 (2015): 525-534.
摄像头雷达融合: Darms, Michael S., Paul E. Rybski, Christopher Baker, and Chris Urmson. "Obstacle detection and tracking for the urban challenge." IEEE Transactions on intelligent transportation systems 10, no. 3 (2009): 475-485.
激光雷达摄像头融合: Ziguo Zhong, Stanley Liu, Manu Mathew, and Aish Dubey.“Camera Radar Fusion for Increased Reliability in
ADAS Applications”. Electronic Imaging 2018.17 (2018):

同济车位识别详细步骤和数据集 Li, Linshen, et al. "Vision-based parking-slot detection: A benchmark and a learning-based approach." 2017 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2017.
同济深度学习角点检测算法：Zhang, Lin, et al. "Vision-based parking-slot detection: A DCNN-based approach and a large-scale benchmark dataset." IEEE Transactions on Image Processing 27.11 (2018): 5350-5364.
分割 Wu, Yan, et al. "VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View." 2018 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2018.
vslam: Huang, Yewei, et al. "Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking." 2018 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2018
超声波信号处理：Shao, Yunfeng, Pengzhen Chen, and Tongtong Cao. "A Grid Projection Method Based on Ultrasonic Sensor for Parking Space Detection." IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018.
融合：Suhr, Jae Kyu, and Ho Gi Jung. "Sensor fusion-based vacant parking slot detection and tracking." IEEE Transactions on Intelligent Transportation Systems 15.1 (2013): 21-36.

Bosch车道线识别: Klotz, Albrecht, Jan Sparbert, and Dieter Hoetzer. "Lane data fusion for driver assistance systems." Proc. 7th International Conference on Information Fusion, Stockholm, Sweden. 2004.
车辆与车道线关系: Nguyen, VanQuang, et al. "A study on real-time detection method of lane and vehicle for lane change assistant system using vision system on highway." Engineering science and technology, an international journal 21.5 (2018): 822-833.
深度学习方法lanenet: Neven, Davy, et al. "Towards end-to-end lane detection: an instance segmentation approach." 2018 IEEE intelligent vehicles symposium (IV). IEEE, 2018.
车道定位 Real-Time Global Localization of Robotic Cars in Lane Level via Lane Marking Detection and Shape Registration Dixiao Cui, Jianru 4 Xue, Member, IEEE, and Nanning Zheng, Fellow, IEEE

cut-in预测，通过特征工程与机器学习预测切入目标：Heinemann, Tonja. Predicting cut-ins in traffic using a neural network. MS thesis. 2017.
Zhu, Ying, et al. "Reliable detection of overtaking vehicles using robust information fusion." IEEE Transactions on Intelligent Transportation Systems 7.4 (2006): 401-414.

ego-motion估计自车位置: Hoang, Berntsson. "Localisation using LiDAR and Camera." MS thesis. 2017.
车辆检测pipeline：Du, Xinxin, et al. "A general pipeline for 3d detection of vehicles." 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018.
博士论文：Zhongzhen Luo, LiDAR Based Perception System: Pioneer Technology for Safety Driving
相机融合：Car Detection for Autonomous Vehicle: LIDAR and Vision Fusion Approach Through Deep Learning Framework, Xinxin Du, Marcelo H. Ang Jr. and Daniela Rus
标定: Improvements to Target-Based 3D LiDAR to Camera Calibration, Jiunn-Kai Huang and Jessy W. Grizzle

SOC系统设计: Zhou, Yuteng. "Computer Vision System-On-Chip Designs for Intelligent Vehicles." (2018).
mobiley测距单目测速测距：Stein, Gideon P., Ofer Mano, and Amnon Shashua. "Vision-based ACC with a single camera: bounds on range and range rate accuracy." IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No. 03TH8683). IEEE, 2003.
mobileye行人检测：Pedestrian Detection for Driving Assistance Systems: Single-frame Classification
and System Level Performance

GraphSLAM: Sebastian Thrun, Michael Montemerlo. "The GraphSLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures"

resnet: He, Kaiming, et al. "Deep residual learning for image recognition." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
yolo目标检测:Redmon, Joseph, et al. "You only look once: Unified, real-time object detection." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
feature可视化:Zeiler, Matthew D., and Rob Fergus. "Visualizing and understanding convolutional networks." European conference on computer vision. Springer, Cham, 2014.
速度效果trade-off:Huang, Jonathan, et al. "Speed/accuracy trade-offs for modern convolutional object detectors." Proceedings of the IEEE conference on computer vision and pattern recognition. 2017.

场景综述:Xue, Jian-Ru, Jian-Wu Fang, and Pu Zhang. "A survey of scene understanding by event reasoning in autonomous driving." International Journal of Automation and Computing 15.3 (2018): 249-266.
动作识别： Simonyan K, Zisserman A. Two-stream convolutional networks for action recognition in videos. In: Proceedings of Advances in Neural Information Processing Systems. Red Hook, NY: Curran Associates, Inc., 2014. 568-576
fcn街景分割：Zhang Y, Qiu Z, Yao T, et al. Fully convolutional adaptation networks for semantic segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 6810-6818.

ADAS handbook: Hermann Winner, Stephan Hakuli, Felix Lotz, Christina Singer.
“Handbook of Driver Assistance Systems" (2016)
系统从需求功能到详细设计Automotive Systems Engineering, Markus Maurer, Hermann Winner