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Found 5 papers, 2 papers with code
Path Planning for Air-Ground Robot Considering Modal Switching Point Optimization
A robot for the field application environment was proposed, and a lightweight global spatial planning technique for the robot based on the graph-search algorithm taking mode switching point optimization into account, with an emphasis on energy efficiency, searching speed, and the viability of real deployment.
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography
This paper proposes a method to extract the position and pose of vehicles in the 3D world from a single traffic camera.
SUPER: A Novel Lane Detection System
AI-based lane detection algorithms were actively studied over the last few years.
Monocular Depth Prediction through Continuous 3D Loss
In contrast to the current point-to-point loss evaluation approach, the proposed 3D loss treats point clouds as continuous objects; therefore, it compensates for the lack of dense ground truth depth due to LIDAR's sparsity measurements.
Mcity Data Collection for Automated Vehicles Study
The main goal of this paper is to introduce the data collection effort at Mcity targeting automated vehicle development.
