Bird's Eye View (BEV) perception for autonomous driving — camera-to-BEV transformations, LiDAR BEV, multi-sensor BEV fusion and temporal BEV modeling.
In this paper, we propose a novel transformer-based variational flow transformation network for BEV segmentation, denoted as TVB.
Engineering 5.5 · Research 8.0 · Business 5.0
To bridge this gap, we propose ViCo3D, a collaborative 3D object detection framework powered by VFMs.
Engineering 5.0 · Research 8.5 · Business 5.0
This paper presents an integrated autonomous vehicle framework combining Bird’s-Eye View (BEV) trimodal sensor fusion, Bi-LSTM temporal tracking, and adaptive Human Machine Interface (HMI) optimization using the nuScenes dataset.
Engineering 5.5 · Research 7.0 · Business 5.0
In this paper, we propose UGBCF-Net – the Uncertainty-Guided Bird's-Eye-View Cross-Attention Fusion Network, which incorporates radar confidence estimation based on physical laws and adaptive multimodal fusion.
Engineering 5.5 · Research 7.0 · Business 5.0
An autonomous driving research paper: DUG-VT: Depth and Uncertainty Guided View Transformer for Robust BEV Semantic Segmentation.
Engineering 5.0 · Research 7.0 · Business 5.0
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
In this paper, a V2IFormer, a novel V2I cooperative 3D object detection framework based on bird’s-eye view (BEV) representations is proposed.
Engineering 5.0 · Research 8.0 · Business 5.0
Der demografische Wandel hat weitreichende gesellschaftliche, wirtschaftliche und infrastrukturelle Konsequenzen – auch für Mobilitätssysteme.
Engineering 5.0 · Research 7.0 · Business 5.0
An autonomous driving research paper: Marketing Communications in Tourism and Hospitality.
Engineering 5.0 · Research 7.0 · Business 5.0
We introduce Reliability-Aware Fusion (RAF), which explicitly supervises per-pixel reliability estimation and provides a direct learning signal for identifying and suppressing unreliable visual cues.
Engineering 6.5 · Research 7.0 · Business 5.0
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
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
We present a Reliable Context-Aware and Temporal Planning framework for Autonomous Driving (RCT-AD) that explicitly models feature quality and temporal consistency to support safer, more consistent planning.
Engineering 6.5 · Research 7.0 · Business 6.0
After a surge between 2019 and 2023, Battery Electric Vehicles (BEV) registrations declined in 2024, with customers facing the expiry of state subsidies.
Engineering 5.0 · Research 7.0 · Business 5.0
In this paper, we propose a multimodal and multiscale feature fusion framework tailored for 3D object detection and map segmentation tasks in autonomous driving.
Engineering 5.5 · Research 8.0 · Business 6.0
Abstract In this work, we present a Bird’s Eye View (BEV) Alignment approach for the LiDAR-Camera calibration task.
Engineering 6.0 · Research 8.0 · Business 5.0
To achieve this, we design a novel forward-projection-based multi-modal Gaussian initialization module and a shared cross-modal Gaussian encoder that iteratively updates Gaussian properties based on an attention mechanism.
Engineering 5.5 · Research 8.0 · Business 5.0
Unhealthy food and beverage marketing is harmful to all children because it generates preferences for foods associated with obesity.
Engineering 5.0 · Research 7.0 · Business 5.0
To overcome these limitations, we propose HSDF-Lane, which implicitly models the road surface as a Height-aligned Signed Distance Field (HSDF) over a densely sampled 3D feature volume.
Engineering 5.5 · Research 8.0 · Business 5.5
In this work, we propose GaussianMap, an online HD map construction framework that learns an adaptive Gaussian representation of the surrounding scene.
Engineering 5.5 · Research 8.0 · Business 5.0