Crop row detection is one of the foundational and pivotal technologies of agricultural robots
and autonomous vehicles for navigation, guidance, path planning, and automated farming in …

The global population is rapidly increasing, so there is a critical requirement to satisfy the
food production demand. Conventional methods of agriculture are inadequate to meet …

This paper develops an integrated safety-enhanced reinforcement learning (RL) and model
predictive control (MPC) framework for autonomous vehicles (AVs) to navigate unsignalized …

LiDAR-based 3D detection methods currently use bird's-eye view (BEV) or range view (RV)
as their primary basis. The former relies on voxelization and 3D convolutions, resulting in …

Light detection and ranging (LiDAR) provides a 3-D understanding of environment and
plays an important role in autonomous driving. To study the influence of 3-D data quality on …

This paper investigates the unsteady flow around a high-rise building using OpenFoam. A
Vortex Method is developed to generate upstream unsteady fluctuations that are validated …

Abstract From 23 January to 13 February 2020, 20 manned research flights were conducted
over the tropical Atlantic, off the coast of Barbados (13∘ 30′ N, 58∘ 30′ W), to …

In order to improve the accuracy of pulse laser ranging based on time-of-flight (TOF), this
paper proposes a laser ranging method based on double threshold echo pulse prediction …

This paper presents a novel framework for robust 3D object detection from point clouds via
cross-modal hallucination. Our proposed approach is agnostic to either hallucination …

The accurate assessment of wound size is a critical step in advanced wound care
management. This study aims to introduce and validate a Light Detection and Ranging …