196 Open source projects that are alternatives of or similar to MotionNet

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

This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

Collection of auditory models.

Official Repo for the paper "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)

Repository for Autonomous Delivery Robot project of IvLabs, VNIT

code for our CVPR 2020 paper "PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes"

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

Text to abstract art generation for the holidays!

(ROS) Sensor fusion algorithm for camera+lidar.

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

SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation (CVPR2020) https://arxiv.org/abs/2003.14266

Joint Perception and Planning For Efficient Obstacle Avoidance Using Stereo Vision

Perception-Aware Trajectory Planner in Dynamic Environments

An implementation of AVP-SLAM and some new contributions

Self Driving Cars Longitudinal and Lateral Control Design

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

A Parametric Framework to Generate Visual Illusions using Python

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

List of commonly used robotics libraries and packages

CVPR 2020 papers focusing on point cloud analysis

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

Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.

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

LiDAR fog simulation

www.robosherlock.org

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

Vanishing Point Guided Network for lane detection, with post processing

Code for ECCV 2020 "DVI: Depth Guided Video Inpainting for Autonomous Driving"

Visualizing lidar data using Uber Autonomous Visualization System (AVS) and Jupyter Notebook Application

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

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

ML Dataset Governance Policy for Autonomous Vehicle Datasets

Julia sample codes for Autonomy, Robotics and Self-Driving Algorithms.

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

Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking…

(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

Virtual Lane Boundary Generation for Human-Compatible Autonomous Driving

Track oriented, multi target, multi hypothesis tracker

Software for LOCO, our autonomous drifting RC car.

Gym environments and agents for autonomous driving.

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

Zero-VIRUS: Zero-shot VehIcle Route Understanding System for Intelligent Transportation (CVPR 2020 AI City Challenge Track 1)

A python implementation for a LogGabor filtering and pyramid representation

Motion Planner for Self Driving Cars

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

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

No description or website provided.

4th place solution in Baidu Autonomous Driving Lane Segmentation

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

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

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.

A tentacle-based pathfinding library for nonholonomic robotic vehicles

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

[CVPR'20] Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement

Autonomous RC Car using Neural Networks, Python and Open CV

[CVPR 2020] Re-hosting of the LUVLi Face Alignment codebase. Please download the codebase from the original MERL website by agreeing to all terms and conditions. By using this code, you agree to MERL's research-only licensing terms.