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📃Scientific paper: AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer Abstract: Combining LiDAR and camera data has shown potential in enhancing short-distance object detection in autonomous driving systems. Yet, the fusion encounters difficulties with extended distance detection due to the contrast between LiDAR's sparse data and the dense resolution of cameras. Besides, discrepancies in the two data representations further complicate fusion methods. We introduce AYDIV, a novel framework integrating a tri-phase alignment process specifically designed to enhance long-distance detection even amidst data discrepancies. AYDIV consists of the Global Contextual Fusion Alignment Transformer (GCFAT), which improves the extraction of camera features and provides a deeper understanding of large-scale patterns; the Sparse Fused Feature Attention (SFFA), which fine-tunes the fusion of LiDAR and camera details; and the Volumetric Grid Attention (VGA) for a comprehensive spatial data fusion. AYDIV's performance on the Waymo Open Dataset (WOD) with an improvement of 1.24% in mAPH value(L2 difficulty) and the Argoverse2 Dataset with a performance improvement of 7.40% in AP value demonstrates its efficacy in comparison to other existing fusion-based methods. Our code is publicly available at https://lnkd.in/ekQ-yWST ;Comment: This paper has been accepted for ICRA 2024, and copyright will automatically transfer to IEEE upon its availability on the IEEE portal Continued on ES/IODE ➡️ https://etcse.fr/6TSHQ ------- If you find this interesting, feel free to follow, comment and share. We need your help to enhance our visibility, so that our platform continues to serve you.

Revolutionizing Sensing: The Impact of 4D LiDAR Technology 🚀 In the rapidly evolving world of technology, the introduction of 4D LiDAR is set to redefine our understanding of autonomous systems. Enter the Aeries II—the world’s first 4D LiDAR sensor with camera-level resolution. This groundbreaking device is not just about measuring dimensions; it takes us a step further by incorporating velocity measurement of detected objects. So, what makes Aeries II a game-changer? Leveraging Aeva’s innovative Frequency Modulated Continuous Wave (FMCW) technology, this sensor outperforms traditional Time-of-Flight systems. The unique LiDAR-on-chip silicon photonics design condenses the capabilities of bulky LiDAR components into a compact module, paving the way for unprecedented applications in various fields, particularly in automotive technology. Why 4D LiDAR Matters: ● Enhanced Detection: Aeries II offers an impressive detection range of 500 meters without interference from sunlight or other sensors, ensuring reliability in diverse conditions. ● Versatile Applications: With multiple field-of-view configurations, it adapts to various placements, making it ideal for innovative projects across different sectors. ● Continuous Monitoring: The sensor's ability to track velocity allows for real-time predictions about object movement, a critical factor for developing safe autonomous systems. The Future is Here As we embrace this cutting-edge technology, it's crucial to understand how to integrate it effectively. Organizations looking to harness the power of 4D LiDAR must prioritize: 1. Training and Development: Equip teams with knowledge on how to implement and utilize these advanced systems. 2. AI Integration: Combine AI with 4D LiDAR for enhanced data analysis and decision-making capabilities. 3. Collaboration: Foster partnerships between technology providers and end-users to ensure that the technology meets real-world needs. In a landscape where innovation is essential for survival, 4D LiDAR is not just an upgrade; it’s a leap into the future. #4DLiDAR #Innovation #AutonomousSystems #Aeva #TechnologyTrends #MachineLearning #AI #SensorTechnology #FutureOfTransportation #SmartCities #DigitalTransformation

3D LiDAR sensor (or) 3-dimensional Light Detection and Ranging is an advanced light-emitting instrument that has the ability to perceive the real-world in a 3-dimensional space, just as we humans do. This technology has particularly revolutionized the fields of earth observation, environmental monitoring, reconnaissance, and now autonomous driving. https://lnkd.in/gETSkF_z In this definitive research article, we will comprehensively focus on visualizing 3D LiDAR sensor data and try to gain an in-depth understanding of the 3D point cloud representation system for self-driving autonomy. #lidar #ai #computervision #opencv

Robots use special sensors, like lidar, to "see" the world around them 🤖. Lidar shoots lasers to create a 3D map of the environment, helping robots understand where things are. But sometimes, lidar can't catch everything, like small obstacles or bumpy ground 😕. Now, companies like NVIDIA are giving robots better vision using cameras and AI. With these upgrades, robots not only see distances but also recognize objects! Other companies, like Boston Dynamics and Inovance, are also working on improving robot vision. Smarter robots mean safer teamwork with humans and exciting possibilities for the future! 🚀 #AI #RobotVision #FutureTech #Innovation

Advantech in partnership with CronAI! CronAI uses 3D Lidar sensors together with their senseEDGE Deep Learning perception software to produce highly accurate and reliable object data. This allows fully anonymous tracking and monitoring of people and vehicles across a wide range of applications including Automation, Smart Cities and Intelligent Transportation Systems (ITS) Find out more about @CronAI: https://lnkd.in/dvt5YF8Y https://cronai.ai/ #DeepLearning #Automation #SmartCities #IntelligentTransportationSystems #Advantech #NVIDIA #AI #InferenceAI #Jetson #perceptionsoftware

Join us for a riveting episode of Singula Talks, where Grigory Petrov and the co-founder of Beamz Lidar, Engin Bozkurt, take us on a deep dive into the transformative world of LiDAR technology. This engaging dialogue ventures well beyond its established role in autonomous driving, opening the door to its profound impact on urban development, traffic optimization, and even understanding crowds in ways we never imagined. Engin's insights reveal the untapped potential of LiDAR in shaping our future cities, making this conversation a beacon for anyone fascinated by the intersection of technology and urban life. 👉Engin navigates through the technical challenges and the unique advantages LiDAR presents, including its superior privacy features compared to conventional sensors. This deep dive not only enlightens but also excites the transformative capabilities of LiDAR technology in fostering smarter, more responsive cities. Ready to explore how LiDAR technology is redefining our future landscapes? Don’t miss the full conversation that promises to be as enlightening as it is inspiring. 🎥Watch the complete interview below and witness the future unfolding, one pulse at a time✨ #LiDARTechnology #SmartCities #FutureUrbanism #TechInnovation #AutonomousDriving #UrbanTech #PrivacyTech #InnovativeEngineering https://lnkd.in/egYAe3si

DynamicCity, a novel 4D LiDAR generation framework designed for generating large-scale, high-quality dynamic LiDAR scenes that evolve over time. The primary objective of DynamicCity is to improve the generation of LiDAR data, especially in dynamic environments, making it ideal for applications like autonomous driving. Here are the key points in the document: 4D LiDAR Scene Generation: DynamicCity introduces the ability to generate 4D LiDAR scenes that capture both spatial and temporal data, unlike traditional models that focus on static 3D scenes. HexPlane Representation: DynamicCity uses a VAE model to encode LiDAR data into a compact 4D representation called HexPlane. This representation consists of six 2D feature maps that capture various spatial and temporal dimensions. Efficient Compression and Expansion: A novel projection module is used to compress high-dimensional LiDAR data into the HexPlane efficiently. Additionally, the framework employs an "Expansion & Squeeze Strategy" to improve accuracy and training efficiency, allowing faster and more memory-efficient reconstruction of 4D LiDAR data. Diffusion Transformers (DiT): The HexPlane data is used in a DiT model, which generates the 4D LiDAR scenes. The model progressively refines the scene, capturing complex spatial and temporal relationships in the data. Applications: DynamicCity supports several downstream applications like trajectory-guided generation, command-driven generation, and inpainting. These features allow the model to control scene dynamics and modify LiDAR data during generation, making it highly flexible for real-world scenarios like autonomous vehicle simulations. Performance: Experimental results show that DynamicCity outperforms state-of-the-art methods in both 4D scene reconstruction and generation, achieving significant gains in metrics like mIoU (mean intersection over union), generation quality, training speed, and memory efficiency. DynamicCity’s innovative approach to 4D LiDAR scene generation positions it as a powerful tool for simulating dynamic environments, particularly useful in areas like robotics and autonomous driving. #AI #LLM #GPT #RLHF

Current positioning technologies like line following, LiDAR navigation and Laser Interpolation restrict mobile robots to static, structured environments due to difficulties in balancing accuracy, adaptability, flexibility, and setup/maintenance costs. Visual SLAM (Simultaneous Localization and Mapping), which combines 3D vision, inertial sensing, and AI sensor fusion, empowers mobile robots to autonomously perceive, map, and navigate dynamic environments. This makes them highly adaptable and easy to deploy in a variety of settings, overcoming the limitations of traditional methods. Read more about the benefits of Visual SLAM technology here: https://loom.ly/4yxh8T8

Dive into the future of LiDAR annotation with top trends! From enhanced automation and real-time processing to AI-driven accuracy improvements, the future of LiDAR technology is reshaping industries. Discover how these advancements are optimizing data precision and efficiency. Learn more: https://lnkd.in/gJ3vji3i #LiDAR #TechTrends #DataAnnotation #Innovation #FutureOfTech #AI #GeospatialAnalysis #AnnotationServices #DataLabeling #ImageTagging #TextAnnotation #DataLabelingServices #AIAnnotation #DataTagging #AnnotationTools #DataAnnotationExperts #lidarscanning #lidarscan #annotated

Struggling with complex LiDAR data? Here's the game-changer you need! Cut through the noise and handle massive point clouds effortlessly. Our advanced tools and smart automation turn chaos into precision. Ready to revolutionize your AI projects? Don’t miss out! Discover How in our latest blog post: https://lnkd.in/dGw_J_H7 #Dataloop #LiDAR #LiDARstudio #LiDARData #AIProjects #AI #AIDevelopment