Autonomous Navigation
130 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
SAFE-GIL: SAFEty Guided Imitation Learning
The algorithm abstracts the imitation error as an adversarial disturbance in the system dynamics, injects it during data collection to expose the expert to safety critical states, and collects corrective actions.
Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion
In this manuscript, we demonstrate that using transient data (from sonars) allows us to address the missing cone problem by sampling high-frequency data along the depth axis.
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
The pattern of text-guided two sensors equips a finer granularity of text prompts with visual and radar features of referred targets.
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.
