OmniNAV: Omniscient Navigation via Unified LiDAR–Camera BEV Fusion for End-to-End Autonomous Driving
Accepted at IEEE IV 2026
Engineering 5.5 · Research 7.0 · Business 5.0
LiDAR Perception - Autonomous Driving Papers, Code and Research Roadmap
LiDAR-based 3D perception for autonomous driving — point cloud processing, 3D detection, segmentation, compression and sensor fusion with cameras and radar.
Prospects and applications of autonomous vehicles in Nepalese agriculture: a review
Agriculture is a key sector in Nepal, employing approximately 60% of the population and contributing 27.1% to the national GDP.
Engineering 5.5 · Research 7.0 · Business 6.0
Emotional AI in the Workplace: Systematic Review of Effects on Employee Well-Being, Productivity, and Organizational Performance
The rapid integration of Artificial Intelligence (AI) and affective computing technologies into organisational environments is transforming workplace dynamics.
Engineering 5.5 · Research 8.0 · Business 6.0
VLGA: Vision-Language-Geometry-Action Models for Autonomous Driving
We introduce VLGA, the first vision-language-action model supervised to reconstruct the dense 3D world it drives through.
Engineering 5.5 · Research 8.5 · Business 5.0
Seeing is Deceiving: Systematic Vulnerability Analysis of LiDAR-Based Autonomous Driving to Mirror-Induced Perception Failures
An autonomous driving research paper: Seeing is Deceiving: Systematic Vulnerability Analysis of LiDAR-Based Autonomous Driving to Mirror-Induced Perception Failures.
Engineering 5.0 · Research 7.0 · Business 5.0
SceneMiner: Identity-Preserving Multi-Task Fine-Tuning for Unified BEV Scene Mining
Mining hard, safety-critical scenes from driving logs is bottlenecked by the absence of difficulty labels, and no single proxy, collision risk, trajectory ambiguity, or semantic rarity suffices to find such scenes on its own.
Engineering 6.5 · Research 7.0 · Business 5.0
CAMF-Det: Closure-Aware Multimodal Fusion for LiDAR-Camera 3D Object Detection on UAV Platforms
Multimodal 3D object detection based on LiDAR and cameras has demonstrated excellent performance in ground-vehicle scenarios, but has not been explored for Unmanned Aerial Vehicle (UAV) platforms.
Engineering 5.0 · Research 7.0 · Business 5.0
ATN3D: Density-Aware LiDAR-Radar Early 3D Object Detection Under Extreme Sparsity
We propose ``Ask The Neighbor'' (ATN3D), a LiDAR-Radar framework tailored for sparse-range conditions.
Engineering 5.5 · Research 7.0 · Business 5.5
Research on Calibration and Hardware Acceleration of Multi-Sensor Fusion Perception System in Autonomous Driving
An autonomous driving research paper: Research on Calibration and Hardware Acceleration of Multi-Sensor Fusion Perception System in Autonomous Driving.
Engineering 5.0 · Research 7.0 · Business 5.0
Geometric-Aware Hypergraph Reasoning for Novel Class Discovery in Point Cloud Segmentation
To address this issue, we introduce a hypergraph-based framework that models high-order associations among classes and enables collaborative reasoning from known classes to novel classes beyond traditional pairwise relations.
Engineering 5.0 · Research 8.0 · Business 5.0
Safe and Fast Motion Planning for UGV on Unknown Uneven Terrain via Terrain Safety Corridors and CBF Constraints
This paper presents a hierarchical motion planning framework that enables safe and fast navigation of UGV on unknown uneven terrain.
Engineering 5.0 · Research 7.0 · Business 5.0
Leveraging multi-modal and historical knowledge graphs for continual robot navigation
To address these challenges, we propose an integration of multi-modal graph with historical knowledge graph for continual robotic navigation.
Engineering 5.0 · Research 8.0 · Business 5.0
Research on embodied agent multimodal perception and real-time path planning algorithms for complex unstructured environments
This paper proposes an integrated end-to-end framework combining a Cross-Modal Attention Fusion (CMAF) module, a Kalman-Graph Neural Network (K-GNN) dynamic obstacle predictor, and a two-layer Proximal Policy Optimization path planning architecture.
Engineering 6.0 · Research 7.0 · Business 6.0
StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets
We present StandardE2E, a framework that provides a single unified interface over E2E driving datasets.
Engineering 7.5 · Research 7.0 · Business 6.0
PatchScene: Patch-based Voxel Diffusion for Large-Scale Scene Completion
We propose PatchScene, a novel diffusion-based framework for large-scale LiDAR scene completion.
Engineering 5.5 · Research 8.0 · Business 5.5
Autonomous Navigation System for Library Service Robot Based on Unitree Go2 Edu
This paper presents a ROS 2 navigation system for a Unitree Go2 Edu quadruped equipped with a 4D LiDAR, a front depth camera, and an IMU.
Engineering 5.5 · Research 7.0 · Business 6.0
Learned Non-Maximum Suppression for 3D Object Detection
Post-processing is a critical stage in LiDAR-based 3D object detection, where dense and overlapping proposals must be filtered for compact and reliable perception.
Engineering 7.0 · Research 7.0 · Business 5.0
Robust target detection method against weather interference based on multisource sensor fusion
To address this issue, we propose SeparateFusion, a novel multisensor fusion framework that integrates four-dimensional (4D) millimeter-wave radar and LiDAR data via a deep neural network.
Engineering 5.0 · Research 8.0 · Business 5.0
Motion Planning in Dynamic Environments: A Survey from Classical to Modern Methods
This paper presents a comprehensive survey of 138 works, primarily published between 2015 and 2025, spanning both classical and learning-based approaches.
Engineering 5.0 · Research 7.0 · Business 5.0
Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis
We present U4D, a new framework that explicitly leverages spatial uncertainty to guide LiDAR scene generation in a "hard-to-easy" schedule.
Engineering 5.5 · Research 8.0 · Business 5.0