52 Open source projects that are alternatives of or similar to VPGNet_for_lane

A paper list with code of lane detection.

Lane detection MATLAB code for Kalman Filter book chapter: Lane Detection

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.

How to run CARLA simulator on colab

Autonomous Driving Simulator for the Portuguese Robotics Open

[RA-L/ICRA2020] Real-time Soft Body 3D Proprioception via Deep Vision-based Sensing

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"

Autonomous navigation for blind people

An open source autonomous driving research platform for Active SLAM & Multisensor Data Fusion

Lane Detection in Low-light Conditions Using an Efficient Data Enhancement : Light Conditions Style Transfer (IV 2020)

(ROS) Sensor fusion algorithm for camera+lidar.

Perception of Autonomous mobile robot,Using ROS,rs-lidar-16,By SLAM,Object Detection with Yolov5 Based DNN

Ros node to use LaneNet to detect the lane in camera

Advanced lane finding

Perception-Aware Trajectory Planner in Dynamic Environments

🔬 Scientific computing library for optics 🔭, computer graphics 💻 and visual perception 👀

Inter-Region Affinity Distillation for Road Marking Segmentation (CVPR 2020)

Basic python script for detect airdroid users in lan

Collection of auditory models.

Accurate and Robust Lane Detection based on Dual-View Convolutional Neutral Network

A Parametric Framework to Generate Visual Illusions using Python

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

Text to abstract art generation for the holidays!

List of commonly used robotics libraries and packages

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

[ICRA 2020] Train generalizable policies for kit assembly with self-supervised dense correspondence learning.

3D model exchange format with physical material properties for virtual development, test and validation of automated driving.

Cross-platform, customizable ML solutions for live and streaming media.

A python implementation for a LogGabor filtering and pyramid representation

Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

Joint Perception and Planning For Efficient Obstacle Avoidance Using Stereo Vision

No description or website provided.

www.robosherlock.org

GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight

Udacity Self-Driving Car Engineer Nanodegree projects.

A paper list of lane detection.

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

Lane Detection for Self Driving Car

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

Lane depertaure and Yolo objection detection C++ Linux

Gathers signal processing, computer vision, machine learning and deep learning for self-driving car engines.

This is an implementation of various algorithms and techniques required to build a simple Self Driving Car. A modified versions of the Udacity Self Driving Car Simulator is used as a testing environment.

Lane detection for the Nvidia Jetson TX2 using OpenCV4Tegra

Use segmentation networks to recognize lane lines and vehicles. Infer position and curvature of lane lines relative to self.

Lane identification system for camera based systems.

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

L5Kit - https://level-5.global/