Projects in Awesome Lists tagged with waymo

https://github.com/hailanyi/3D-Detection-Tracking-Viewer

3D detection and tracking viewer (visualization) for kitti & waymo dataset

3d-object-detection 3d-object-tracking kitti viewer visualization waymo

Last synced: 20 Mar 2025

https://github.com/dvlab-research/SphereFormer

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

3d-object-detection 3d-semantic-segmentation cvpr2023 lidar-point-cloud nuscenes semantickitti transformer waymo

Last synced: 20 Mar 2025

https://github.com/abhi1kumar/DEVIANT

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

3d-computer-vision 3d-object-detection autonomous-driving autonomous-vehicle depth-equivariance eccv eccv-2022 eccv2022 equivariance geometric-deep-learning kitti-3d monocular-3d-detection monocular-3d-localization nuscenes object-detection one-stage-detector projective-geometry projective-manifold waymo

Last synced: 20 Mar 2025

https://github.com/caizhongang/waymo_kitti_converter

A toolkit for Waymo Open Dataset <-> KITTI conversions

kitti-dataset self-driving-car toolkit waymo waymo-open-dataset

Last synced: 19 Dec 2024

https://github.com/akshaymogaveera/self-driving-robot-using-neural-network

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using motor driver. This motor driver will move the robot in required directions. Neural Network is used to train the model by first driving the robot on the specially designed track by labeling the images with the directions to be taken. After the model is trained it can make accurate predictions by processing the images on computer. This approach is better than conventional method which is done by extracting specific feature from images.

arduino artificial-neural-networks driverless-car google gradient-descent keras machine-learning neural-network opencv opencv3-python python raspberry-pi robotics self-driving-car self-driving-car-simulation tensorflow tensorflow-models waymo