Bird's Eye View (BEV) perception for autonomous driving — camera-to-BEV transformations, LiDAR BEV, multi-sensor BEV fusion and temporal BEV modeling.
An autonomous driving research paper: Unified Spatio-Temporal BEV Attention for Omniscient Autonomous Driving with Multi-Sensor Fusion.
Engineering 5.0 · Research 7.0 · Business 5.0
Autonomous parking is one of the most demanding manoeuvres a vehicle can be asked to perform.
Engineering 5.0 · Research 7.0 · Business 5.0
We propose UDSTC, a utility-driven semantic-token communication method for collaborative semantic occlusion completion.
Engineering 5.5 · Research 8.0 · Business 6.0
Das aktive Zurücklegen von Wegstrecken sowie die Reduzierung von Fleischkonsum sind beides Verhaltensweisen, die sowohl gesundheitsförderlich sind, als auch zur Reduzierung von Treibhausgasen beitragen.
Engineering 5.0 · Research 7.0 · Business 5.0
To address this, we propose MapTCL, an auxiliary training strategy that formulates temporal consistency loss between current and past frames via bidirectional alignment.
Engineering 5.5 · Research 7.0 · Business 5.0
An autonomous driving research paper: RSD-BEV: Residual Self-distillation Framework for Efficient BEV Representation Learning.
Engineering 5.0 · Research 7.0 · Business 5.0
Camera-based bird's-eye-view (BEV) 3D detection typically assumes accurate and fixed camera extrinsics.
Engineering 5.5 · Research 7.0 · Business 5.0
We present MoRAL (Multimodal Reasoning for Autonomous Language Models), a two-stage fine-tuning pipeline that teaches Cosmos-Reason2-2B to first read a physics-encoded Bird's Eye View (BEV) representation and then reason over it for driving decisions.
Engineering 5.5 · Research 7.0 · Business 5.0
Green purchase decision is the choices made by the consumers to buy products or services that are environmentally friendly or have a reduced impact on the environment.
Engineering 5.0 · Research 7.0 · Business 5.0
The study examines public knowledge and understanding of Thailand’s community liquor liberalization policy, community expectations of becoming model communities, the association between knowledge and expectations, and the policy’s impacts on local communities.
Engineering 5.0 · Research 7.0 · Business 5.0
(2) We propose geometric saliency pillar feature encoding, which enhances point cloud structural representation via point-wise saliency weighting and multi-statistic aggregation.
Engineering 5.5 · Research 7.0 · Business 5.0
To address these issues, we propose Driver2Map, an online HD map construction model inspired by human drivers.
Engineering 5.0 · Research 8.0 · Business 5.0
To address these limitations, we introduce a novel multi-modal fusion network for 3D object detection, consisting of two principal components: Geometric Pseudo-Image Feature Fusion and the Feature Fusion Encoder.
Engineering 5.5 · Research 8.0 · Business 5.0
An autonomous driving research paper: MambaBEV: A BEV-Based 3D Detection Model with Mamba2.
Engineering 5.0 · Research 7.0 · Business 5.0
We propose SIPTraj, a map-free trajectory prediction framework that jointly addresses scene grounding and physical feasibility.
Engineering 7.5 · Research 7.0 · Business 5.0
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
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Engineering 5.5 · Research 7.0 · Business 6.0
We introduce LabEvolver, a training-free framework that equips safe and grounded wet-lab agents with episodic memory from execution experience.
Engineering 7.0 · Research 7.0 · Business 5.5
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
We propose HeteroPROMPT, a real-time and privacy-preserving framework for heterogeneous collaborative perception.
Engineering 7.0 · Research 8.0 · Business 6.5