Birds Eye
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MB-Loc: Multi-planar Bird's-eye-view Localization in outdoor LiDAR scenes
Announce Type: new Abstract: Global LiDAR localization is a fundamental task for autonomous navigation systems. Recent methods perform Scene Coordinate Regression (SCR) and achieve superior accuracy over Absolute Pose Regression (APR) solutions by predicting dense 3D world coordinates. However, SCR approaches introduce two major bottlenecks: severe computational inefficiency from processing raw 3D geometries and significant performance degradation under varying sensor viewpoints.
Iceland says 1,000 UK stores affected in major change announced today
Iceland says 1,000 UK stores affected in major change announced today It's in time for summer Iceland has made a big announcement affecting its UK stores. Hard-pressed households could slash hundreds of pounds off their grocery bills this summer following Iceland Foods and The Food Warehouse's announcement of a massive money-saving overhaul across 1,000 UK stores and online. The supermarket chain has unveiled its 'Frozen Pledge'.
Chinese satellite company releases images of Nvidia, Apple HQs
Chinese satellite company releases images of Nvidia, Apple HQs Photos offering bird’s-eye view of the campuses are ‘routine satellite news’ according to the firm, which has been sanctioned by the US The satellite images – captured by the company’s Jilin-1 constellation – offer a detailed bird’s-eye view of the region. They include the futuristic Endeavour and Voyager buildings where Nvidia is based in Santa Clara and the spaceship-like Apple Park in Cupertino.
Vietnamese herb omelette with herbs and chilli
The first thing I ate in Vietnam, straight from the frying pan at a street stall. You could add more ingredients – minced ground pork, for example – but I like the pureness of this. Overview 5 mins 15 mins 1 Ingredients For the nuoc cham sauce (optional) - 3 red bird’s-eye chillies (fewer if you don’t want it too hot) - 8 tbsp caster or soft light-brown sugar - 6 tbsp lime juice - 10 tbsp fish sauce - 3 tbsp finely shredded carrots For the omelette - 2 large eggs - good pinch of caster sugar...
Towards Compact Autonomous Driving Perception with Balanced Learning and Multi-sensor Fusion
Announce Type: new Abstract: We present a novel compact deep multi-task learning model to handle various autonomous driving perception tasks in one forward pass. The model performs multiple views of semantic segmentation, depth estimation, light detection and ranging (LiDAR) segmentation, and bird's eye view projection simultaneously without being supported by other models. We also provide an adaptive loss weighting algorithm to tackle the imbalanced learning issue that occurred due to...
EditSSC: Toward Editable Semantic Occupancy Scenes with Unconditional Diffusion Models
arXiv:2606.09273v1 Announce Type: new Abstract: 3D semantic scene generation is crucial for autonomous driving applications, yet most methods rely on complex 3D-specific architectures such as triplane encoders and adapted diffusion networks, limiting both their simplicity and their editing capabilities. We propose EditSSC, an editing-ready method for 3D semantic scene generation using 2D Bird's Eye View (BEV) representations and off-the-shelf latent diffusion network. Our approach reshapes...
PathPainter: Transferring the Generalization Ability of Image Generation Models to Embodied Navigation
arXiv:2605.07496v2 Announce Type: replace Abstract: Bird's-eye-view (BEV) images have been widely demonstrated to provide valuable prior information for navigation. Given the global information provided by such views, two key challenges remain: how to fully exploit this information and how to reliably use it during execution. In this paper, we propose a navigation system that uses BEV images as global priors and is designed for ground and near-ground robotic platforms.
RESBev: Making BEV Perception More Robust
arXiv:2603.09529v2 Announce Type: replace Abstract: Bird's-eye-view (BEV) perception has emerged as a cornerstone of autonomous driving systems, providing a structured, ego-centric representation critical for downstream planning and control. However, real-world deployment faces challenges from sensor degradation and adversarial attacks, which can cause severe perceptual anomalies and ultimately compromise the safety of autonomous driving systems. To address this, we propose a resilient and...
BEV-ODOM2: Enhanced BEV-based Monocular Visual Odometry with PV-BEV Fusion and Dense Flow Supervision for Ground Robots
Announce Type: replace Abstract: Scale-consistent ego-motion estimation is fundamental for autonomous ground robots. Bird's-Eye-View (BEV) representation naturally addresses the scale drift problem of monocular visual odometry (MVO) by providing a metric-scaled planar workspace, enabling the simplification of 6-DoF ego-motion to a more robust 3-DoF model. However, existing BEV-based methods suffer from two key limitations: sparse supervision signals from pose-only training, and information...
Can BEV Perception Gracefully Degrade under Sensor Failures?
arXiv:2605.30983v1 Announce Type: new Abstract: Despite the remarkable success of multi-modal bird's-eye view (BEV) perception in autonomous driving, current systems exhibit a critical vulnerability: existing fusion mechanisms are highly brittle to sensor corruptions, often causing catastrophic performance degradation. This vulnerability largely stems from the fact that standard fusion frameworks typically integrate multi-modal representations in a static manner, leading to a precipitous...