UnsDrive: Towards Robust End-to-End Autonomous Driving in Unstructured Scenes
To address these challenges, we propose UnsDrive, an end-to-end planner designed for unstructured mining scenes.
Engineering 5.5 · Research 8.0 · Business 5.0
Occupancy Prediction - Autonomous Driving Papers, Code and Research Roadmap
Occupancy grid and occupancy network methods for autonomous driving — volumetric 3D environment representation for obstacle avoidance and free-space estimation.
Generative AI for Autonomous Driving: Frontiers and Opportunities
Generative Artificial Intelligence (GenAI) constitutes a transformative technological wave that reconfigures industries through its unparalleled capabilities for content creation, reasoning, planning, and multimodal understanding.
Engineering 7.5 · Research 7.0 · Business 7.0
DMAC-Net: Direction-Aware Multi-Granularity Enhancement with Asymmetric Context Guidance for Multimodal UAV-Based Small Object Detection
To further improve the accuracy and robustness of small object detection in UAV aerial scenes, this paper proposes a multi-modal detection network that integrates direction-aware multi-granularity and asymmetric context guidance, termed DMAC-Net.
Engineering 5.0 · Research 8.0 · Business 5.0
Potential Impacts of Personal Autonomous Vehicles on Travel Behaviors: A Land Use and Transportation Interaction Approach
This study aims to assess the potential impacts of personal Autonomous Vehicles (AVs) on people’s travel behaviors when vehicle sharing in household and network of friends is allowed.
Engineering 5.5 · Research 7.0 · Business 6.0
High-Capacity Transit on Dedicated Infrastructure
Rapid urbanization can overwhelm public transportation systems, causing congestion and a decline in service quality.
Engineering 5.0 · Research 7.0 · Business 5.0
CorrelationFlow: A Training-Free Geometric Approach for LiDAR Scene Flow Estimation
We present CorrelationFlow, a training-free geometric framework that reduces scene flow to two textbook operations: connected-component labeling and correlation maximization on bird's-eye-view occupancy images.
Engineering 5.0 · Research 7.0 · Business 5.0
Group-wise Supervision with Focal-Dice Loss for Long-Tailed Indoor Semantic Occupancy Prediction
To tackle this challenge, we propose a novel method, Group-UFD Occ, based on hierarchical semantic supervision and synergistic loss optimization.
Engineering 5.0 · Research 8.0 · Business 5.0
Auto-JEPA: A Latent World Model of Continuous Intent for End-to-End Autonomous Driving
Based on this perspective, we propose Auto-JEPA, an action-oriented latent world model that learns continuous future driving intent through joint-embedding prediction.
Engineering 5.5 · Research 7.0 · Business 5.0
Does School Carpooling Pay Off? Propensity Score Evidence on Household Cost, Time, and Stress from Private Schools in Lahore and Faisalabad
School drop-off and pick-up trips concentrate low occupancy private car travel within peak periods, imposing monetary, time, and psychological burdens on households.
Engineering 5.0 · Research 7.0 · Business 5.0
Shared Voxel-Map-Based Cooperative Indoor UAV Guidance with a Multi-Agent Soft Actor-Critic Controller
This paper presents a cooperative indoor UAV guidance framework that combines a shared voxel-map world model with a multi-agent Soft Actor-Critic (MASAC) controller.
Engineering 5.5 · Research 7.0 · Business 5.5
InterOCF: Spatio-Temporal 2D-3D Interaction for Camera-Only 4D Occupancy Forecasting
Camera-only 4D occupancy forecasting enables autonomous vehicles to predict future 3D semantic scenes solely from historical multi-view images, which is critical for driving safety.
Engineering 5.5 · Research 8.0 · Business 6.0
SimBEV2X: A Large-Scale Dataset and Data Generation Tool for Multi-Task Vehicle-to-Everything Cooperative Perception
To overcome this, we introduce SimBEV2X, an advanced synthetic data generation tool built on the CARLA simulator.
Engineering 7.0 · Research 8.0 · Business 5.5
GaussianSeed: Hierarchical Gaussian Seeding for High-Resolution 3D Occupancy Prediction
To address this, we introduce GaussianSeed, a progressive multi-scale Gaussian occupancy prediction framework that organizes primitives into a coarse-to-fine hierarchy.
Engineering 5.5 · Research 7.0 · Business 5.0
Low-cost monocular RGB-based 3D structural mapping for horticultural plants via semantic scene completion
To overcome these limitations, we propose a monocular 3D structural mapping framework tailored for horticultural plants via semantic scene completion.
Engineering 5.5 · Research 7.0 · Business 6.5
RayOcc: Occlusion-Aware Ray Occupancy Estimation via Gaussian Mixture Intensity
To address this limitation, we introduce RayOcc, an occlusion-aware ray occupancy framework that reformulates ray modeling as multi-label existence prediction.
Engineering 5.5 · Research 8.0 · Business 5.0
Redefining empty trips through occupancy and transferability of cross-modal strategies: A review
In response, we propose a continuous measure based on the proportion of unused vehicle capacity.
Engineering 5.0 · Research 7.0 · Business 5.0
4DR360: State Reasoning for Joint 3D Detection and Occupancy Prediction in 4D Radar-Camera Full-Scene Perception
To address this gap and advance radar-based multi-task learning, we propose \method, a 4D radar-camera framework for 360$^\circ$ full-scene perception, which models semantic occupancy as a persistent scene state rather than a terminal output.
Engineering 5.0 · Research 7.0 · Business 5.0
Dynamic Object Detection and Tracking in Construction: A Fisheye Camera and LiDAR Sensor Fusion Model
In this work, we present a novel framework that enhances a quadruped robot equipped with a LiDAR sensor and an upward-facing fisheye camera for real-time dynamic object detection and tracking.
Engineering 5.5 · Research 8.0 · Business 6.5
SparseOcc++: Geometry-Aware Sparse Latent Representation for Semantic Occupancy Prediction
We present SparseOcc++, a geometry-aware sparse framework that explicitly decouples scene completion from semantic segmentation.
Engineering 5.5 · Research 7.0 · Business 5.0
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving
In this paper, we introduce Text-Guided Representation for Instance Prediction (TGRIP), a novel framework that bridges this gap by injecting rich semantic priors into the instance prediction loop.
Engineering 7.5 · Research 8.5 · Business 5.0