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Found 5 papers, 0 papers with code
Vision-Based Environmental Perception for Autonomous Driving
In this paper, we introduce and compare various methods of object detection and identification, then explain the development of depth estimation and compare various methods based on monocular, stereo, and RDBG sensors, next review and compare various methods of SLAM, and finally summarize the current problems and present the future development trends of vision technologies.
Vision-based localization methods under GPS-denied conditions
This paper reviews vision-based localization methods in GPS-denied environments and classifies the mainstream methods into Relative Vision Localization (RVL) and Absolute Vision Localization (AVL).
Optical Flow Estimation
Simultaneous Localization and Mapping
+2
Road Slope Prediction and Vehicle Dynamics Control for Autonomous Vehicles
With the help of perception sensors in autonomous vehicles, a road slope estimation system can be developed to aid these control systems in making informed decisions regarding the vehicle's state.
High-Definition Map Generation Technologies For Autonomous Driving
This review introduces the concept of HD maps and their usefulness in autonomous driving and gives a detailed overview of HD map generation techniques.
Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder
Perception and localization are essential for autonomous delivery vehicles, mostly estimated from 3D LiDAR sensors due to their precise distance measurement capability.
