Autonomous Navigation
131 papers with code • 0 benchmarks • 5 datasets
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
These leaderboards are used to track progress in Autonomous Navigation
RELLIS-3D
JRDB
IN2LAAMA
Latest papers with no code
Haris: an Advanced Autonomous Mobile Robot for Smart Parking Assistance
This paper presents Haris, an advanced autonomous mobile robot system for tracking the location of vehicles in crowded car parks using license plate recognition.
Data-Driven Strategies for Coping with Incomplete DVL Measurements
Autonomous underwater vehicles are specialized platforms engineered for deep underwater operations.
Learning to navigate efficiently and precisely in real environments
In the context of autonomous navigation of terrestrial robots, the creation of realistic models for agent dynamics and sensing is a widespread habit in the robotics literature and in commercial applications, where they are used for model based control and/or for localization and mapping.
TDC-less Direct Time-of-Flight Imaging Using Spiking Neural Networks
3D depth sensors using single-photon avalanche diodes (SPADs) are becoming increasingly common in applications such as autonomous navigation and object detection.
BadODD: Bangladeshi Autonomous Driving Object Detection Dataset
Most existing datasets lack suitable classes for autonomous navigation on Bangladeshi roads, making it challenging for researchers to develop models that can handle the intricacies of road scenarios.
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections
In recent years, significant advancements have been made in the field of autonomous driving with the aim of increasing safety and efficiency.
Autonomous Navigation in Complex Environments
This paper explores the application of CNN-DNN network fusion to construct a robot navigation controller within a simulated environment.
Squeezed Edge YOLO: Onboard Object Detection on Edge Devices
This model is compressed and optimized to kilobytes of parameters in order to fit onboard such edge devices.
A Literature Review on the Smart Wheelchair Systems
The paper acknowledges the commercial challenges faced, like the limitations of indoor usage and the necessity for user training.
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation
Moreover, we propose an interactivity estimation mechanism based on the difference between predicted trajectories in these two situations, which indicates the degree of influence of the ego agent on other agents.
