LiDAR-Visual Fusion SLAM for Autonomous Vehicle Location
To solve these problems, we propose an LiDAR-visual fusion method for high precision and robust vehicle localization.
Engineering 5.0 · Research 7.0 · Business 5.0
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.
Height3D: A Roadside Visual Framework Based on Height Prediction in Real 3-D Space
In recent years, vision-based roadside 3D object detection has received a great deal of attention, which is an important part of the Intelligent Transportation System (ITS).
Engineering 6.5 · Research 8.0 · Business 5.0
Aligning LiDAR to Vision Language Space: A Fusion Approach for Steering Angle Regression of a Vehicle
In this work we proposed the multimodal fusion framework to improve the steering angle prediction accuracy.
Engineering 6.5 · Research 7.0 · Business 5.0
A Survey on Vision-Language-Action Models for Autonomous Driving
The rapid progress of multimodal large language models (MLLM) has paved the way for Vision-Language-Action (VLA) paradigms, which integrate visual perception, natural language understanding, and control within a single policy.
Engineering 5.0 · Research 7.5 · Business 5.0
Epona: Autoregressive Diffusion World Model for Autonomous Driving
Diffusion models have demonstrated exceptional visual quality in video generation, making them promising for autonomous driving world modeling.
Engineering 5.5 · Research 8.0 · Business 5.0
VFCAnet: Voxel-wise Fusion and Channel-wise Attention Network for 3D Semantic Occupancy Prediction in Autonomous Driving
To address this limitation, we propose VFCAnet (Voxel-wise Fusion and Channel-wise Attention Network), a novel multimodal fusion framework for 3D semantic occupancy prediction.
Engineering 5.0 · Research 8.0 · Business 5.0
Aphelios: A Selective Lock-step Neural Processing Unit Design
In this work, we propose a selective lock-step NPU design for neural network reliability.
Engineering 5.0 · Research 7.0 · Business 5.0
A-RoI: Adaptive Region of Interest to Enhance Obstacle Awareness for Autonomous Driving
This paper presents Adaptive Region of Interest (A-RoI), a novel technique that dynamically updates the RoI on a LiDAR HD map based on the vehicle's real-time position and planned trajectory.
Engineering 5.0 · Research 8.0 · Business 5.0
CPMFusion: LiDAR-camera fusion framework for 3D object detection in bird’s eye view space
An autonomous driving research paper: CPMFusion: LiDAR-camera fusion framework for 3D object detection in bird’s eye view space.
Engineering 5.0 · Research 7.0 · Business 5.0
CTLane: An end-to-end lane detector by a CNN transformer and fusion decoder for edge computing
By using these two components together, our method is able to effectively detect lanes in a variety of conditions, even when interference is present.
Engineering 7.0 · Research 7.0 · Business 5.0
Autonomous Vehicle Localization on Standard Definition Maps Based on Camera and LiDAR Sensor Fusion
This paper presents a localization approach based on the OpenStreetMap (OSM) database.
Engineering 5.0 · Research 8.0 · Business 5.0
Calibration-Free Roadside BEV Perception with V2X-Enabled Vehicle Position Assistance
We introduce a calibration-free roadside BEV perception architecture, which utilizes elevated roadside cameras in conjunction with the vehicle position transmitted via cellular vehicle-to-everything (C-V2X) independently of camera calibration parameters.
Engineering 5.5 · Research 7.0 · Business 5.5
OC-SOP: Enhancing Vision-Based 3D Semantic Occupancy Prediction by Object-Centric Awareness
To address this, we propose Object-Centric SOP (OC-SOP), a framework that integrates high-level object-centric cues extracted via a detection branch into the semantic occupancy prediction pipeline.
Engineering 5.0 · Research 8.0 · Business 5.0
CCTest: Critical Configuration Testing for Autonomous Driving Systems
Scenario-based testing is the dominant approach for validating autonomous driving systems (ADS) through simulation.
Engineering 5.0 · Research 8.0 · Business 6.0
SWA-SOP: Spatially-aware Window Attention for Semantic Occupancy Prediction in Autonomous Driving
To this end, we propose Spatially-aware Window Attention (SWA), a novel mechanism that incorporates local spatial context into attention.
Engineering 5.0 · Research 8.0 · Business 5.0
Simulating Ethical Trade-Offs in Autonomous Driving
As autonomous vehicle (AV) technology advances, ethical questions surrounding its implementation and integration become increasingly apparent.
Engineering 7.0 · Research 7.0 · Business 5.5
Singular Value Decomposition (SVD) Method for LiDAR and Camera Sensor Fusion and Pattern Matching Algorithm
In this paper, we propose a robust pattern matching algorithm that leverages singular value decomposition (SVD) and gradient descent (GD) to align geometric features—such as object contours and convex hulls—across LiDAR and camera modalities.
Engineering 5.0 · Research 7.0 · Business 5.0
A Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X-Enabled Autonomous Driving
To bridge this gap, we design a high-resolution semantic voxel sensor in CARLA to produce dense and comprehensive annotations.
Engineering 6.5 · Research 7.0 · Business 5.0
3D Object Detection Method Based on Image-Point Cloud Interactive Fusion
To effectively fuse these modalities, this paper proposes a 3D object detection framework based on the interactive fusion of image and point-cloud features.
Engineering 5.0 · Research 7.0 · Business 5.0
Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal
Navigation is a very crucial aspect of autonomous vehicle ecosystem which heavily relies on collecting and processing large amounts of data in various states and taking a confident and safe decision to define the next vehicle maneuver.
Engineering 5.0 · Research 8.0 · Business 5.0