Are AI-Generated Driving Videos Ready for Autonomous Driving? A Diagnostic Evaluation Framework
We present a diagnostic framework that systematically studies this question.
Engineering 5.5 · 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.
Optimized Trajectory Planning and Kalman Filter-Enhanced INDI Motion Control for Spherical Robots
This paper proposes a novel motion controller that integrates Incremental Nonlinear Dynamic Inversion (INDI) with Kalman filtering.
Engineering 5.0 · Research 8.0 · Business 5.0
Terrain-Aware Trajectory Optimization for Autonomous Vehicle in Off-Road Terrain
This paper presents a terrain-aware motion planning method that incorporates chance-constrained trajectory optimization to ensure a maximum probability of safe traversal.
Engineering 5.0 · Research 8.0 · Business 5.0
Deep Sensor Fusion Framework for Autonomous Vehicle Perception
Accurate perception in autonomous vehicles is critical for ensuring safety and reliability in complex driving environments.
Engineering 5.5 · Research 7.0 · Business 6.0
Trajectory Tree-Based Pairwise Game for Interactive Decision-Making and Motion Planning in Autonomous Driving
An autonomous driving research paper: Trajectory Tree-Based Pairwise Game for Interactive Decision-Making and Motion Planning in Autonomous Driving.
Engineering 5.0 · Research 7.0 · Business 5.0
Integrating Driving-Aware World Model With MPC for Autonomous Driving at Unsignalized T-Intersections
To address these challenges, we propose an end-to-end framework that integrates a Driving-Aware World Model (DAWM) with Model Predictive Path Integral (MPPI) control.
Engineering 5.5 · Research 8.0 · Business 5.0
TrajDiff: End-to-end Autonomous Driving without Perception Annotation
In this work, we propose TrajDiff, a Trajectory-oriented BEV Conditioned Diffusion framework that establishes a fully perception annotation-free generative method for end-to-end autonomous driving.
Engineering 5.5 · Research 8.0 · Business 5.0
Efficient Dual-Branch 3D Occupancy Prediction for Autonomous Driving
This paper proposes a real-time 3D occupancy prediction method for autonomous driving.
Engineering 5.5 · Research 7.0 · Business 5.0
An Explainable RL-Based Speed Adaptation Framework for Autonomous Driving Using a Custom CARLA Environment
This study proposes a reinforcement learning (RL)-based control architecture within a hierarchical reinforcement learning (HRL) motion planning framework, designed to generate interpretable and safe driving behaviors for autonomous vehicles.
Engineering 5.5 · Research 7.0 · Business 5.5
Autonomous Driving Core Tasks: Object Detection and Path Planning
With the continual improvement of artificial intelligence, sensing, and computational technologies, autonomous vehicles have become an important part of intelligent transportation systems research.
Engineering 5.5 · Research 7.0 · Business 6.0
OpenTwinMap: An Open-Source Digital Twin Generator for Urban Autonomous Driving
In this work, we propose OpenTwinMap, an open-source, Python-based framework for generating high-fidelity 3D urban digital twins.
Engineering 6.5 · Research 7.0 · Business 5.0
Lane Detection with Centerline Calculation and Temporal Tracking for Autonomous Driving
Our approach extends the work of Neven et al.
Engineering 5.5 · Research 7.0 · Business 5.5
Computer Vision for Autonomous Driving
This paper presents a comprehensive overview of the essential computer vision components used in autonomous driving, including camera systems, sensor fusion, object detection, lane detection, traffic sign recognition, and depth estimation.
Engineering 5.5 · Research 7.0 · Business 6.5
AutoNav: A CARLA-Based Framework for Autonomous Vehicle Simulation
The paper explores the way that the design of autonomous vehicle simulator creates a virtual environment inside which the high-cost and safety-innovative, autonomous vehicle (AV) technologies could be achieved through innovation and experimentation.
Engineering 7.0 · Research 7.0 · Business 5.5
DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving
In this paper, we propose DiffRefiner, a novel two-stage trajectory prediction framework.
Engineering 5.0 · Research 8.0 · Business 5.0
Advances in Lane Detection: From Classical Methods to Transformer-Based Architectures
Lane detection is a critical component of Advanced Driver Assistance Systems (ADAS) and autonomous navigation, especially in unstructured environments where lane markings are often degraded or missing.
Engineering 5.0 · Research 8.0 · Business 6.5
Real Time Steering Angle Estimation Using Monocular Depth Profiling and 1D Free Space Analysis
We propose a novel, cost effective approach that uses a monocular camera and deep learning-based depth estimation to generate steering commands in real time.
Engineering 5.0 · Research 8.0 · Business 5.0
Validating DVS Application in Autonomous Driving with Various AEB Scenarios in CARLA Simulator
Predicting potential collisions with leading vehicles is a fundamental capability of autonomous and assisted driving systems.
Engineering 5.5 · Research 7.0 · Business 5.5
CARLA Hardware-in-the-Loop Simulation Environment for Autonomous Driving
This article suggests a validation methodology for autonomous driving.
Engineering 5.5 · Research 7.0 · Business 6.0
A Differentiable Constraint-Aware Motion Planning Module for Unsupervised Trajectory Optimization
In this paper, we propose a constraint-aware, supervision-free trajectory planning framework that could learn safe and executable behaviors directly from violation-prone data.
Engineering 6.0 · Research 7.0 · Business 5.0