Papers Birds Eye View Object Detection
“Birds Eye View Object Detection” 태그가 달린 논문 8편 · 필터 해제
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network
Efficiently and accurately detecting people from 3D point cloud data is of great importance in many robotic and autonomous driving applications. This fundamental perception task is still very challenging due to (i) signi…
3D Object DetectionAutonomous DrivingBirds Eye View Object Detectionobject-detection+2Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR
Accurate 3D object detection is a key part of the perception module for autonomous vehicles. A better understanding of the objects in 3D facilitates better decision-making and path planning. RGB Cameras and LiDAR are the…
2D Object Detection3D Object DetectionAutonomous VehiclesBirds Eye View Object Detection+5Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems
Bird's Eye View (BEV) is a popular representation for processing 3D point clouds, and by its nature is fundamentally sparse. Motivated by the computational limitations of mobile robot platforms, we create a fast, high-pe…
Birds Eye View Object DetectionCPUGPUObject DetectionSE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud
We present Self-Ensembling Single-Stage object Detector (SE-SSD) for accurate and efficient 3D object detection in outdoor point clouds. Our key focus is on exploiting both soft and hard targets with our formulated const…
3D Object DetectionBirds Eye View Object DetectionObjectobject-detection+1CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
Existing single-stage detectors for locating objects in point clouds often treat object localization and category classification as separate tasks, so the localization accuracy and classification confidence may not well …
3D Object DetectionBirds Eye View Object DetectionClassificationGeneral Classification+1PIXOR: Real-time 3D Object Detection from Point Clouds
We address the problem of real-time 3D object detection from point clouds in the context of autonomous driving. Computation speed is critical as detection is a necessary component for safety. Existing approaches are, how…
3D Object DetectionAutonomous DrivingBirds Eye View Object DetectionModel Optimization+4PointPillars: Fast Encoders for Object Detection from Point Clouds
Object detection in point clouds is an important aspect of many robotics applications such as autonomous driving. In this paper we consider the problem of encoding a point cloud into a format appropriate for a downstream…
3D Object DetectionAutonomous DrivingBirds Eye View Object DetectionObject+3VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality. To interface a highly sparse LiDAR point clou…
3D Object DetectionBirds Eye View Object DetectionDescriptiveFeature Engineering+3