Browse SoTA > Computer Vision > Autonomous Vehicles > Autonomous Navigation

Autonomous Navigation

34 papers with code · Computer Vision
Subtask of Autonomous Vehicles

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.

Latest papers with code

Robust navigation with tinyML for autonomous mini-vehicles

1 Jul 2020praesc/Robust-navigation-with-TinyML

Autonomous navigation vehicles have rapidly improved thanks to the breakthroughs of Deep Learning.

AUTONOMOUS DRIVING AUTONOMOUS NAVIGATION IMAGE CLASSIFICATION

6
01 Jul 2020

Bi3D: Stereo Depth Estimation via Binary Classifications

CVPR 2020 NVlabs/Bi3D

Given a strict time budget, Bi3D can detect objects closer than a given distance in as little as a few milliseconds, or estimate depth with arbitrarily coarse quantization, with complexity linear with the number of quantization levels.

AUTONOMOUS NAVIGATION QUANTIZATION STEREO DEPTH ESTIMATION

63
14 May 2020

MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation

2 Mar 2020mchancan/citylearn

Our experimental results, on traversals of the Oxford RobotCar dataset with no GPS data, show that MVP can achieve 53% and 93% navigation success rate using VO and RO, respectively, compared to 7% for a vision-only method.

AUTONOMOUS NAVIGATION MOTION ESTIMATION SELF-SUPERVISED LEARNING VISUAL NAVIGATION VISUAL PLACE RECOGNITION

7
02 Mar 2020

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

24 Feb 2020lzccccc/SMOKE

Estimating 3D orientation and translation of objects is essential for infrastructure-less autonomous navigation and driving.

AUTONOMOUS NAVIGATION MONOCULAR 3D OBJECT DETECTION

116
24 Feb 2020

A Little Fog for a Large Turn

16 Jan 2020code-Assasin/A_Little_fog_for_a_Large_Turn

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

ADVERSARIAL ATTACK AUTONOMOUS NAVIGATION SAFETY PERCEPTION RECOGNITION

1
16 Jan 2020

Learning to Move with Affordance Maps

ICLR 2020 wqi/A2L

In this paper, we combine the best of both worlds with a modular approach that learns a spatial representation of a scene that is trained to be effective when coupled with traditional geometric planners.

AUTONOMOUS NAVIGATION POINTGOAL NAVIGATION

17
08 Jan 2020

Decentralized Distributed PPO: Mastering PointGoal Navigation

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

453
01 Jan 2020

Learning to Move with Affordance Maps

ICLR 2020 wqi/A2L

In this paper, we combine the best of both worlds with a modular approach that {\em learns} a spatial representation of a scene that is trained to be effective when coupled with traditional geometric planners.

AUTONOMOUS NAVIGATION POINTGOAL NAVIGATION SAFE EXPLORATION

17
01 Jan 2020

Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data

10 Dec 2019Baldins/Learning_UAV_Pose_Estimation

In this work, we propose a new learning approach for autonomous navigation and landing of an Unmanned-Aerial-Vehicle (UAV).

AUTONOMOUS NAVIGATION POSE ESTIMATION

2
10 Dec 2019

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 SCENE UNDERSTANDING

454
01 Nov 2019