LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
To that end, we introduce LightEMMA, a Lightweight End-to-End Multimodal Model for Autonomous driving.
Engineering 7.5 · Research 8.0 · Business 6.0
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.
Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection
To bridge this gap, we propose a novel Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection (FAGAD).
Engineering 7.0 · Research 8.0 · Business 5.5
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving
Autonomous Vehicles (AVs) require precise lane and object detection to ensure safe navigation.
Engineering 5.0 · Research 7.0 · Business 5.0
Seamless Lane Detection and Road Quality Evaluation System for Autonomous Driving
Lane detection stands as a critical element in autonomous driving, ensuring vehicles navigate safely by accurately recognizing lane boundaries.
Engineering 5.0 · Research 7.0 · Business 5.0
Improved Quintic Polynomial Autonomous Vehicle Lane-Change Trajectory Planning Based on Hybrid Algorithm Optimization
A trajectory planning method is proposed to address the lane-changing problem in intelligent vehicles.
Engineering 5.0 · Research 7.0 · Business 5.0
Road Similarity-Based BEV-Satellite Image Matching for UGV Localization
An autonomous driving research paper: Road Similarity-Based BEV-Satellite Image Matching for UGV Localization.
Engineering 5.0 · Research 7.0 · Business 5.0
Implementation of an Efficient and Optical-Flow-Based Algorithm of Depth Estimation on Autonomous Nano Quadcopters for Obstacle Avoidance
In this work, we present FlowDep, an efficient and optical flowbased algorithm for depth estimation.
Engineering 5.5 · Research 7.0 · Business 6.0
End-to-End Reinforcement Learning with Large Models for Autonomous Vehicle Control
This paper proposes an end-to-end reinforcement learning framework that integrates large-scale deep neural networks with advanced policy optimization techniques to improve decision-making in autonomous driving.
Engineering 5.5 · Research 8.0 · Business 5.0
A Survey of Autonomous Driving from a Deep Learning Perspective
Autonomous driving represents a significant advancement in the transportation industry, enhancing vehicle intelligence, optimizing traffic management, and improving user experiences.
Engineering 5.5 · Research 7.0 · Business 5.0
Autonomous Driving System Using CNN and PPO
This paper presents an autonomous driving algorithm engineered and executed using Proximal Policy Optimization (PPO), a reinforcement learning (RL) technique, within the Car Learning to Act (CARLA) simulation environment.
Engineering 5.0 · Research 7.0 · Business 5.0
Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement
To this end, we redirect the focus from accuracy only to both accuracy and efficiency.
Engineering 5.5 · Research 8.0 · Business 5.0
A New Adversarial Perspective for LiDAR-based 3D Object Detection
To address this issue, we introduce a real-world dataset (ROLiD) comprising LiDAR-scanned point clouds of two random objects: water mist and smoke.
Engineering 5.5 · Research 8.0 · Business 5.5
Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions
To address these problems, we propose a point reconstruction network using equirectangular projection for multimodal 3D object detection.
Engineering 5.0 · Research 8.0 · Business 5.0
AS-Det: Active Sampling for Adaptive 3D Object Detection in Point Clouds
In response to this challenge, we introduce an adaptable point-based single-stage 3D detector, AS-Det, engineered to excel on both LiDAR and 4D Radar point clouds.
Engineering 5.5 · Research 8.0 · Business 5.0
Lane Detection in Autonomous Cars using Deep Learning Algorithms
Addressing the problem of environmental perception is the first step in the development of lane detection and autonomous driving systems.
Engineering 5.0 · Research 7.0 · Business 5.0
Trajectory Planning for Four-Wheeled Robots Using Hippopotamus Optimization Algorithm
Trajectory planning for mobile robots is observed as a critical task in fact of autonomous systems, particularly in fact of dynamic and uncertain fact of environments.
Engineering 5.0 · Research 8.0 · Business 5.0
POD: Predictive Object Detection with Single-Frame FMCW LiDAR Point Cloud
We propose a novel POD framework, the core idea of which is to generate a virtual future point using a ray casting mechanism, create virtual two-frame point clouds with the current and virtual future frames, and encode these two-frame voxel features with a sparse 4D encoder.
Engineering 5.0 · Research 8.0 · Business 5.0
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection
In this paper, we explore multitask learning by introducing an additional 3D supervision signal by incorporating an additional 3D object detection auxiliary branch.
Engineering 7.0 · Research 8.0 · Business 5.0
V-Fusion: 2D Detection-enhanced Multimodal 3D BEV Object Detection
In this paper, we propose V-Fusion, a high-quality 2D detection-enhanced multimodal BEV object detection method.
Engineering 5.5 · Research 8.0 · Business 5.0
Frustum consistency augmentation for 3D object detection in LiDAR
In this paper, we innovatively implement a combination of 2D detectors and raw points within the RoI (region of interest) to filter virtual points to resolve the challenges previously outlined.
Engineering 5.0 · Research 7.0 · Business 5.0