DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
Therefore, we introduce DriveDreamer, a pioneering world model entirely derived from real-world driving scenarios.
Engineering 6.0 · Research 7.0 · Business 5.5
Autonomous Driving Papers with Code, Datasets and Engineering Notes
Browse curated autonomous driving papers on end-to-end driving, BEV perception, 3D object detection, motion prediction, path planning, ADAS, Tesla FSD, Waymo, and self-driving foundation models.
Real Pseudo-Lidar Point Cloud Fusion for 3D Object Detection
This paper proposes an improved method to generate more accurate Pseudo-Lidar point clouds.
Engineering 5.0 · Research 7.0 · Business 5.0
Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection
We present a novel LiDAR-only framework that augments raw scans with denser pseudo point clouds by solely relying on LiDAR sensors and scene semantics, omitting the need for cameras.
Engineering 5.0 · Research 8.0 · Business 5.0
Monocular Depth Estimation for Autonomous UAV Navigation Based on Deep Learning
This study focuses on the autonomous navigation and mapping of indoor environments using a drone equipped only with a monocular camera and height measurement sensors.
Engineering 5.0 · Research 7.0 · Business 5.0
Language Prompt for Autonomous Driving
To address this challenge, we propose the first object-centric language prompt set for driving scenes within 3D, multi-view, and multi-frame space, named NuPrompt.
Engineering 6.0 · Research 8.0 · Business 5.0
Towards Camera Parameters Invariant Monocular Depth Estimation in Autonomous Driving
In this work, we propose an approach for camera parameters invariant depth estimation in autonomous driving scenarios.
Engineering 5.0 · Research 8.0 · Business 5.0
Advancing Autonomous Navigation: Deep Learning Techniques for Self-Driving Cars
Abstract: The fast development of self-driving car technology has brought forth radical breakthroughs in the world of transportation and movement.
Engineering 5.0 · Research 7.0 · Business 5.0
AUTONOMOUS VEHICLE SIMULATION WITH MULTI HUMAN DRIVING BEHAVIOR USING DEEP LEARNING
Advances in Autonomous Vehicle (AV) technology have made this topic popular in recent years, both large and small companies have started to develop this AV technology.
Engineering 5.0 · Research 7.0 · Business 5.0
Performance Analysis of Hyperparameter Darknet-Based Model on 3D Object Detection Autonomous Driving
In this paper, investigating the complex You Only Look Once (YOLO) version 3 Tiny and complex YOLO version 4 Tiny which are Darknet-based Tiny Model are performed to detect the object based on LiDAR data for autonomous driving application.
Engineering 5.0 · Research 7.0 · Business 5.0
Deep learning-based path tracking control using lane detection and traffic sign detection for autonomous driving
Automated vehicles are a significant advancement in transportation technique, which provides safe, sustainable, and reliable transport.
Engineering 5.0 · Research 7.0 · Business 5.0
A Motion Planning Method for an Autonomous Underwater Vehicle with Kinematic Constraints
In this paper, we combine the AUV motion state with the grid map and propose a path searching algorithm based on kinematics to ensure the correctness and dynamic feasibility of the path.
Engineering 5.0 · Research 7.0 · Business 5.0
Target-point Attention Transformer: A novel trajectory predict network for end-to-end autonomous driving
In this paper, we propose a Transformer-based trajectory prediction network for end-to-end autonomous driving without rules called Target-point Attention Transformer network (TAT).
Engineering 5.5 · Research 8.0 · Business 5.0
Optimization‐based motion planning for autonomous agricultural vehicles turning in constrained headlands
To address this challenge, we propose an optimization‐based motion planning algorithm for headland turning under geometrical constraints imposed by headland geometry and obstacles.
Engineering 5.0 · Research 8.0 · Business 6.0
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving
In this paper, we present FusionAD, to the best of our knowledge, the first unified framework that fuse the information from two most critical sensors, camera and LiDAR, goes beyond perception task.
Engineering 6.0 · Research 8.0 · Business 5.0
MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving
To this end, we propose an autonomous driving simulator based upon neural radiance fields (NeRFs).
Engineering 7.0 · Research 8.0 · Business 6.0
Self-Attentive Channel-Connectivity Capsule Network for EEG-Based Driving Fatigue Detection
To simultaneously address these two issues, we propose a Self-Attentive Channel-Connectivity Capsule Network (SACC-CapsNet) for EEG-based driving fatigue detection in this paper.
Engineering 5.0 · Research 8.0 · Business 5.0
Self-supervised monocular depth estimation for high field of view colonoscopy cameras
In addition, our model accommodates wide field-of-view cameras typically used in colonoscopy and specific challenges such as deformable surfaces, specular lighting, non-Lambertian surfaces, and high occlusion.
Engineering 5.0 · Research 7.0 · Business 5.0
Fast Motion Planning of Autonomous Navigation Reconnaissance UAV Based on Range Field
An autonomous driving research paper: Fast Motion Planning of Autonomous Navigation Reconnaissance UAV Based on Range Field.
Engineering 5.0 · Research 7.0 · Business 5.0
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars
This paper proposes a lightweight model for the driveable area and lane line segmentation.
Engineering 6.5 · Research 7.0 · Business 5.0
Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion
In this paper, we tackle the problem at a low level, fusing the raw sensor streams, thus obtaining depth estimates which are both dense and precise, and can be used as a unified multi-modal data source for higher-level estimation problems.
Engineering 5.0 · Research 7.0 · Business 5.0