About

Autonomous navigation is the task of autonomously navigating a vehicle or robot to or around a location without human guidance.

( Image credit: Approximate LSTMs for Time-Constrained Inference: Enabling Fast Reaction in Self-Driving Cars )

Benchmarks

You can find evaluation results in the subtasks. You can also submitting evaluation metrics for this task.

Subtasks

Datasets

Greatest papers with code

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

CVPR 2018 charlesq34/pointnet

Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality.

3D OBJECT DETECTION AUTONOMOUS NAVIGATION FEATURE ENGINEERING OBJECT LOCALIZATION REGION PROPOSAL

OpenBot: Turning Smartphones into Robots

24 Aug 2020intel-isl/OpenBot

We develop a software stack that allows smartphones to use this body for mobile operation and demonstrate that the system is sufficiently powerful to support advanced robotics workloads such as person following and real-time autonomous navigation in unstructured environments.

AUTONOMOUS NAVIGATION

DeepTraffic: Crowdsourced Hyperparameter Tuning of Deep Reinforcement Learning Systems for Multi-Agent Dense Traffic Navigation

9 Jan 2018lexfridman/deeptraffic

We present a traffic simulation named DeepTraffic where the planning systems for a subset of the vehicles are handled by a neural network as part of a model-free, off-policy reinforcement learning process.

AUTONOMOUS DRIVING AUTONOMOUS NAVIGATION Q-LEARNING

Multi-Session Visual SLAM for Illumination Invariant Localization in Indoor Environments

5 Mar 2021introlab/rtabmap

For robots navigating using only a camera, illumination changes in indoor environments can cause localization failures during autonomous navigation.

AUTONOMOUS NAVIGATION

A Little Fog for a Large Turn

16 Jan 2020SullyChen/Autopilot-TensorFlow

Small, carefully crafted perturbations called adversarial perturbations can easily fool neural networks.

ADVERSARIAL ATTACK AUTONOMOUS NAVIGATION SAFETY PERCEPTION RECOGNITION

Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV

15 Sep 2019hku-mars/loam_livox

LiDAR odometry and mapping (LOAM) has been playing an important role in autonomous vehicles, due to its ability to simultaneously localize the robot's pose and build high-precision, high-resolution maps of the surrounding environment.

AUTONOMOUS NAVIGATION

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames

ICLR 2020 facebookresearch/habitat-api

We leverage this scaling to train an agent for 2. 5 Billion steps of experience (the equivalent of 80 years of human experience) -- over 6 months of GPU-time training in under 3 days of wall-clock time with 64 GPUs.

AUTONOMOUS NAVIGATION POINTGOAL NAVIGATION SCENE UNDERSTANDING

An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs

10 May 2019pulp-platform/pulp-dronet

Nano-size unmanned aerial vehicles (UAVs), with few centimeters of diameter and sub-10 Watts of total power budget, have so far been considered incapable of running sophisticated visual-based autonomous navigation software without external aid from base-stations, ad-hoc local positioning infrastructure, and powerful external computation servers.

AUTONOMOUS NAVIGATION VISUAL NAVIGATION

A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones

4 May 2018pulp-platform/pulp-dronet

As part of our general methodology we discuss the software mapping techniques that enable the state-of-the-art deep convolutional neural network presented in [1] to be fully executed on-board within a strict 6 fps real-time constraint with no compromise in terms of flight results, while all processing is done with only 64 mW on average.

AUTONOMOUS NAVIGATION VISUAL NAVIGATION

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

6 Jul 2018neka-nat/probreg

Point cloud registration sits at the core of many important and challenging 3D perception problems including autonomous navigation, SLAM, object/scene recognition, and augmented reality.

AUTONOMOUS NAVIGATION POINT CLOUD REGISTRATION SCENE RECOGNITION