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
BEV Perception - Autonomous Driving Papers, Code and Research Roadmap
Bird's Eye View (BEV) perception for autonomous driving — camera-to-BEV transformations, LiDAR BEV, multi-sensor BEV fusion and temporal BEV modeling.
Understanding Cross-Sensor Feature Variations for Generalizable 3D Perception
We introduce a framework that characterizes visual scene variations in the frequency domain and uses them to synthesize diverse source-domain views.
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
Distortion-Aware PETR for BEV Object Detection with Mixed Pinhole-Fisheye Cameras
To bridge this gap, we propose Distortion-Aware PETR (DAPETR), a projection-free detector tailored for mixed pinhole-fisheye camera setups.
Engineering 5.0 · Research 7.0 · Business 5.0
Modern Autonomous Driving BEV Detection with Vision
An autonomous driving research paper: Modern Autonomous Driving BEV Detection with Vision.
Engineering 5.0 · Research 7.0 · Business 5.0
The impact of temperature on battery electric vehicle penetration
Battery electric vehicles (BEVs) experience significant performance declines under suboptimal ambient temperatures, with both heat and cold reducing range, slowing acceleration, and prolonging charging times.
Engineering 5.0 · Research 7.0 · Business 5.0
A review of intelligent chassis structure design for electric vehicles with centralized drive configurations
An autonomous driving research paper: A review of intelligent chassis structure design for electric vehicles with centralized drive configurations.
Engineering 5.0 · 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
IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving
To address this limitation, we propose \mathbf{IDOL}, an inverse-dynamics-guided future prediction framework for world-model-based end-to-end planning in latent BEV space, where inverse dynamics serves as the key bridge between future prediction and trajectory optimization.
Engineering 5.5 · Research 8.0 · Business 5.0
Can BEV Perception Gracefully Degrade under Sensor Failures?
To this end, we present Grace-BEV, a lightweight and plug-and-play framework that enforces active reliability awareness during multi-modal fusion.
Engineering 5.5 · Research 7.0 · Business 5.0
ACF4D: Alignment and Consistency Guided Temporal Fusion for Multi-View 3D Object Detection
To overcome these challenges, we propose ACF4D, a novel temporal fusion framework designed for multi-view 3D object detection.
Engineering 5.5 · Research 8.0 · Business 5.0
Pose-aware BEV feature refinement for robust cooperative perception under pose uncertainty
To address this issue, we propose a pose-aware BEV feature refinement method for post-fusion BEV representations.
Engineering 5.5 · Research 7.0 · Business 6.5
SDEF-BEV: spatial-aware dual-expert radar-camera fusion for robust BEV 3D object detection
To address these issues, we propose SDEF-BEV, a novel spatial-aware dual-expert fusion network.
Engineering 5.5 · Research 8.0 · Business 5.0
Neuromorphic LiDAR-based Bird's Eye View Object Detection using Energy-efficient Spiking Neural Networks
In this work, we propose an end-to-end spiking encoder-decoder network for object detection in bird's eye view representations of LiDAR point clouds, trained using surrogate gradient backpropagation.
Engineering 6.0 · Research 8.0 · Business 6.5
Semantics-Guided Multimodal Masked Autoencoder Pretraining for 3D BEV Object Detection
Accurate 3D bird's-eye view (BEV) object detection is essential for autonomous driving, and depends strongly on effective multimodal representations from complementary sensors such as cameras and LiDAR.
Engineering 5.5 · Research 7.0 · Business 5.0
SF3D-MDA: A Road-User Behavior Annotation Framework and Recognition Method Based on Vehicle-Mounted Visual Information
We propose a SlowFast-based 3-D bidirectional feature pyramid network (FPN) with multidimensional attention (SF3D-MDA) mechanisms.
Engineering 7.5 · Research 7.0 · Business 6.5
Design and Implementation of Multi-Sensor Perception System for Autonomous Vehicle
This paper provides an in-depth exploration of a design and implementation of multi-sensor perception system for autonomous vehicle (AV).
Engineering 5.5 · Research 7.0 · Business 6.0
Enhancing BEV Perception Through Vehicle-Road Cooperative Systems: An Attention-Based Cross-View Fusion Approach
This paper presents a novel vehicle-to-infrastructure (V2I) cooperative perception framework to address inherent limitations of bird's eye view (BEV) systems in autonomous driving.
Engineering 5.0 · Research 8.0 · Business 5.0
CooperDrive: Enhancing Driving Decisions Through Cooperative Perception
We propose CooperDrive, a cooperative perception framework that augments situational awareness and enables earlier, safer driving decisions.
Engineering 6.0 · Research 7.0 · Business 5.5