pointpillars

A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.

A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

Convert pointpillars Pytorch Model To ONNX for TensorRT Inference

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDAR

Implementation of PointPillars Network with LiDAR-camera fusion for 3D Object Detection in Autonomous Driving.

Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.

Implementation of PointPillars in PyTorch for KITTI 3D Object Detetcion

This repository contains a Master's Thesis on enhancing LiDAR-based 3D Object Detection in autonomous vehicles using synthetic data. The research explores the use of the Ansys AVxcelerate Sensors Simulator (AVX) to create synthetic point clouds. It includes a hybrid training approach, experimental design, results, and related scripts.

working repository

Reproducible 3D LiDAR detection with TensorRT FP16, exact deterministic voxelization, and ROS 2.

ROS2 PointPillars inference demo using OpenPCDet and pybind11 for LiDAR point cloud object detection.

Initialisation-free camera–LiDAR self-calibration via pseudo-LiDAR BEV pillars (BMVC 2023). Recovers extreme decalibration — up to ±180° yaw — in one shot, then refines through a 3-stage coarse-to-fine cascade.

A Simple PointPillars PyTorch Implementation for 3D Lidar(KITTI) Detection.

PointPillars for Argoverse object detection

3D BEV object detection · mAP 0.624 on nuScenes · LiDAR-camera fusion · PyTorch

This repository serves as a client to send sensor messages from ROS or other sources to the Inference server and processes the inference results.

Validation of a camera-first range-gated camera-LiDAR perception pipeline on nuScenes mini (mechanics checks, not benchmark results)

PointPillars TensorRT FP16 on Jetson AGX Orin | 42 FPS / <24ms | ByteTrack 3D MOT 78.4% MOTA | 3.8x speedup

ROS 2 AMR simulation and LiDAR-based 3D person detection with OpenPCDet and PointPillars.