Research on Vehicle-Driving-Trajectory Prediction Methods by Considering Driving Intention and Driving Style With the rapid advancement of autonomous driving technology, the accurate prediction of vehicle trajectories has become a research hotspot. In order to acc... Q Luo - 《Sustainability》 被引量:...
[28].F. Chabot, M. Chaouch, J. Rabarisoa, C. Teulie`re, and T. Chateau, “Deep MANTA: A coarse-to-fine many- task network forjoint 2d and 3d vehicle analysis from monocular image,” in CVPR, 2017. [29].A. Mousavian, D. Anguelov, J.Flynn, and J. Kosecka, “3d bounding bo...
This paper focuses on predictive analytics for moving objects (could be pedestrians, cars, vessels, planes, animals, etc.) and surveys the state-of-the-art in the context of future location and trajectory prediction. We provide an extensive review of over 50 works, also proposing a novel ...
Research efforts are spent on the put-forward overall picture of location prediction through trajectory data. This survey offers an extensive overview of location prediction enveloping basic definitions and concepts, data sources, approaches, and applications. Moreover, Spatial鈥揟emporal pattern-based ...
Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation, in ArXiv 2024. [paper] Origin-Destination Travel Time Oracle for Map-based Services, in SIGMOD 2023. [paper] A Graph-Based Scene Encoder for Vehicle Trajectory Prediction Using the Diffusion Model,...
During the scenario execution step, different platforms can be selected based on specific requirements, including virtual simulations, hardware-in-the-loop, vehicle-in-the-loop, and physical test sites. The rarity of safety–critical events is the main bottleneck for progress in the AD field, ...
"Optimizing Ego Vehicle Trajectory Prediction: The Graph Enhancement Approach." EI-AVM (2024). [paper] [2023.12] Loitering: Johnny Núñez, Zenjie Li, Sergio Escalera, Kamal Nasrollahi. "Identifying Loitering Behavior with Trajectory Analysis." WACV Workshop (2024). [paper] [code] [2023.12] ...
* Vehicle Surround Capture: Survey of Techniques and a Novel Omni-Video-Based Approach for Dynamic Panoramic Surround Maps * Vehicles of the Future: A Survey of Research on Safety Issues * Video-based lane estimation and tracking for driver assistance: Survey, system, and evaluation Survey, Drive...
Predicting the trajectory by the GAN is mainly based on video images detected by vehicles, as Mozaffari et al. [73] reviewed the most advanced deep learning-based methods for predicting vehicle behavior, and proved the potential of the behavior prediction function of an AV. Following the populari...
Rui Qian, Xin Lai, Xirong Li: 3D Object Detection for Autonomous Driving: A Survey (Pattern Recognition 2022: IF=8.518) - rui-qian/SoTA-3D-Object-Detection