
Title: PIXOR: Real-time 3D Object Detection from Point Clouds
Feb 17, 2019 · We utilize the 3D data more efficiently by representing the scene from the Bird's Eye View (BEV), and propose PIXOR, a proposal-free, single-stage detector that outputs oriented 3D object estimates decoded from pixel-wise neural network predictions.
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PIXOR: Real-time 3D Object Detection from Point Clouds
We utilize the 3D data more efficiently by representing the scene from the Bird's Eye View (BEV), and propose PIXOR, a proposal-free, single-stage detector that outputs oriented 3D object estimates decoded from pixel-wise neural network predictions.
We utilize the 3D data more efficiently by representing the scene from the Bird’s Eye View (BEV), and propose PIXOR, a proposal-free, single-stage detector that outputs oriented 3D object estimates decoded from pixel-wise neural net-work predictions.
PIXOR: Real-time 3D Object Detection from Point Clouds - ar5iv
PIXOR is a single-stage, proposal-free, dense object detector that achieve extreme simplicity in the context of 3D object localization for autonomous driving. PIXOR takes bird’s eye view representation as input for efficiency in computation.
PiXoR
PiXoR is a machine vision company that creates and supports software for sorting or grading products by color, shape, defects, etc. Most of the products involved are agricultural products like nuts, fruit, tobacco leaves, etc.
philip-huang/PIXOR: PyTorch Implementation of PIXOR - GitHub
PIXOR: Real-time 3D Object Detection from Point Clouds This is a custom implementation of the paper from Uber ATG using PyTorch 1.0. It represents the driving scene using lidar data in the Birds' Eye View (BEV) and uses a single stage object detector to predict the poses of road objects with respect to the car
PIXOR: Real-time 3D Object Detection from Point Clouds
In this repository you'll find an unofficial implementation of PIXOR using PyTorch. I implemented this project to gain some experience working with 3D object detection and familiarize myself with the kitti dataset used for training and evaluation of the model.
PIXOR: Real-time 3D Object Detection from Point Clouds
Jun 1, 2018 · PIXOR is proposed, a proposal-free, single-stage detector that outputs oriented 3D object estimates decoded from pixel-wise neural network predictions that surpasses other state-of-the-art methods notably in terms of Average Precision (AP), while still runs at 10 FPS.
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