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Detection of parked vehicles from a radar based occupancy grid.

, , , , and . Intelligent Vehicles Symposium, page 1415-1420. IEEE, (2014)

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Improving Object Distance Estimation in Automated Driving Systems Using Camera Images, LiDAR Point Clouds and Hierarchical Clustering., , , and . IV Workshops, page 299-305. IEEE, (2021)LIV-DeepSORT: Optimized DeepSORT for Multiple Object Tracking in Autonomous Vehicles Using Camera and LiDAR Data Fusion., , , and . IV, page 1-7. IEEE, (2023)A New Technique for Integrating MEMS-Based Low-Cost IMU and GPS in Vehicular Navigation., , , and . J. Sensors, (2016)From Simultaneous Localization and Mapping to Collaborative Localization for Intelligent Vehicles., , , and . IEEE Intell. Transp. Syst. Mag., 13 (4): 196-216 (2021)A new decentralized Bayesian approach for cooperative vehicle localization based on fusion of GPS and inter-vehicle distance measurements., , , and . ICCVE, page 473-479. IEEE, (2013)LiDAR and Radar Sensor Fusion for Detection and Tracking of Dynamic Objects in Autonomous Vehicles using Probabilistic Occupancy Grid, YOLO and DeepSORT., , , and . ITSC, page 4131-4137. IEEE, (2022)Detection of parked vehicles from a radar based occupancy grid., , , , and . Intelligent Vehicles Symposium, page 1415-1420. IEEE, (2014)New Field Operational Tests Sampling Strategy Based on Metropolis-Hastings Algorithm., , and . IntelliSys (1), volume 868 of Advances in Intelligent Systems and Computing, page 1285-1302. Springer, (2018)Intelligent Vehicle Embedded Sensors Fault Detection and Isolation Using Analytical Redundancy and Nonlinear Transformations., , and . J. Control. Sci. Eng., (2017)Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions., , and . J. Intell. Transp. Syst., 26 (3): 284-310 (2022)