Feb 27, 2025 · To address these challenges, we propose SegLocNet, a multimodal GNSS-free localization network that achieves precise localization using bird's-eye-view (BEV) semantic segmentation.

Mar 2, 2025 · We present Dur360BEV, a novel spherical camera autonomous driving dataset equipped with a high-resolution 128-channel 3D LiDAR and a RTK-refined GNSS/INS system, along with a benchmark architecture designed to generate Bird-Eye-View (BEV) maps using only a single spherical camera.

BirdsEye imagery provides downloadable, high-resolution map imagery, including detailed satellite imagery and raster-based topographical maps. You can use the BaseCamp™ application to download BirdsEye imagery to your computer, view imagery on your computer, and transfer imagery to your compatible Garmin ® device.

Ground to aerial matching is a crucial and challenging task in outdoor robotics, particularly when GPS is absent or unreliable. Structures like buildings or lar.

Dec 23, 2023 · The method provides localisation capabilities from geo-referenced images, eliminating the need for external devices or costly equipment. This enhances the capacity of agents to autonomously determine their position, navigate, and operate effectively in GNSS-denied environments.

Apr 2, 2025 · This research paper presents BEVCorner, a novel framework that synergistically integrates monocular and multi-view pipelines for enhanced 3D object detection in autonomous driving. By fusing depth maps from Bird’s-Eye View (BEV) with object-centric depth estimates from monocular detection, BEVCorner enhances both global context and local precision, addressing the limitations of existing ...

Birds eye views generated by Velodyne laser scanner with long range (left) and downwards facing cameras with high resolution for relevant lane markings and curbs (right).

Feb 28, 2025 · To address these challenges, we propose SegLocNet, a multimodal GNSS-free localization network that achieves precise localization using bird’s-eye-view (BEV) semantic seg-mentation.

Efficient relocalization is essential for intelligent vehicles when GPS reception is insufficient or sensor-based localization fails. Recent advances in Bird’s-

Oct 8, 2024 · Taking inspiration from the autonomous driving community, we propose a novel framework for synthesizing a birds-eye-view (BEV) scene representation to match and localize against an aerial map in off-road environments.