Autonomous Navigation
129 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
Latest papers with no code
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms
On several state-of-art networks for a range of autonomous navigation tasks, Ev-Edge achieves 1. 28x-2. 05x improvements in latency and 1. 23x-2. 15x in energy over an all-GPU implementation on the NVIDIA Jetson Xavier AGX platform for single-task execution scenarios.
ODTFormer: Efficient Obstacle Detection and Tracking with Stereo Cameras Based on Transformer
In this paper, we propose ODTFormer, a Transformer-based model to address both obstacle detection and tracking problems.
WaterVG: Waterway Visual Grounding based on Text-Guided Vision and mmWave Radar
Inspired by visual grounding, in this paper, we introduce WaterVG, the first visual grounding dataset designed for USV-based waterway perception based on human intention prompts.
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications
In this paper, we introduce SSAP (Shape-Sensitive Adversarial Patch), a novel approach designed to comprehensively disrupt monocular depth estimation (MDE) in autonomous navigation applications.
OpenOcc: Open Vocabulary 3D Scene Reconstruction via Occupancy Representation
We model the geometric structure of the scene with occupancy representation and distill the pre-trained open vocabulary model into a 3D language field via volume rendering for zero-shot inference.
AUTONODE: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation
In recent advancements within the domain of Large Language Models (LLMs), there has been a notable emergence of agents capable of addressing Robotic Process Automation (RPA) challenges through enhanced cognitive capabilities and sophisticated reasoning.
Real-Time Sensor-Based Feedback Control for Obstacle Avoidance in Unknown Environments
We revisit the Safety Velocity Cones (SVCs) obstacle avoidance approach for real-time autonomous navigation in an unknown $n$-dimensional environment.
Transformer based Multitask Learning for Image Captioning and Object Detection
We propose TICOD, Transformer-based Image Captioning and Object detection model for jointly training both tasks by combining the losses obtained from image captioning and object detection networks.
Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm
This paper presents a novel method to assess the resilience of the Iterative Closest Point (ICP) algorithm via deep-learning-based attacks on lidar point clouds.
Improved LiDAR Odometry and Mapping using Deep Semantic Segmentation and Novel Outliers Detection
In this work, we propose a novel framework for real-time LiDAR odometry and mapping based on LOAM architecture for fast moving platforms.