Abstract: Knowledge distillation has recently been proven to be effective for model compression and acceleration of point cloud-based 3D object detection. However, the complementary network pruning is ...
Abstract: Accurate detection of road markings is critically important in fields such as autonomous driving technology, high-precision mapping, and intelligent transportation systems. Unlike ...
Python still leads despite a dip; C edges past C++ for #2; SQL re-enters the top 10 as Perl drops out after last month’s ...
Abstract: Detecting small, oriented objects in remote sensing images remains a bottleneck for prevailing detection paradigms. The discriminative cues essential for detecting small instances are often ...
Abstract: 3D point cloud object detection plays an important role in autonomous driving. However, labeling 3D object boxes is expensive and time-consuming, limiting the number of annotated point ...
Abstract: 3D object detection in LiDAR point clouds faces significant challenges in sparse point clouds and unfamiliar environments. Existing methods often rely on simple multi-layer perceptrons or ...
Abstract: Localization and navigation of vehicles using 3D point cloud maps is an important strategy in autonomous driving. In this work, we propose a new method for offline building static maps based ...
Abstract: Object-oriented radio frequency identification (RFID) with machine learning (ML) and the internet of things (IoT) can be used to predict demand for products and services. RFID is a ...
Abstract: This paper is about 3D pose estimation on LiDAR scans with extremely minimal storage requirements to enable scalable mapping and localisation. We achieve ...
I'm working on a project to detect thermal hotspots of animals from aerial imagery. The animals appear as very small, bright specks. This makes bounding box annotation impractical and I plan to ...
Abstract: We introduce a planner designed to guide robot manipulators in stably placing objects within complex scenes. Our proposed method reverses the traditional approach to object placement: our ...
Abstract: Automotive radar systems have evolved to provide not only range, azimuth and Doppler velocity, but also elevation data. This additional dimension allows for the representation of 4D radar as ...
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