Accerion’s Post

LiDAR-based localization offers decent performance with low commissioning effort. However, in dynamic logistics environments where objects and people are constantly moving, LiDAR's accuracy can quickly degrade, impacting your operations. Triton's floor-based localization system ensures consistent performance from day one, regardless of the changes and movements in your environment. Adding Triton to your mobile robot results in reliable localization even in the busiest logistics settings. Curious about how Triton can transform your operations? Reach out to me today and let's discuss how you can boost your robot's performance!

🎉 Explore the Future of 3D Detection and Localization with multiScan100! Did you know that achieving simultaneous 3D detection and localization is now a reality? Let's delve into the incredible capabilities of the multiScan100 3D LiDAR sensor—a true game-changer in the field of technology. 🔍 Discover the Features: 1️⃣ Uncover the power of a high-resolution 0° scan layer designed for mapping and precise localization. 2️⃣ Experience the generation of intricate 3D point clouds, facilitating accurate detection of objects and people. 3️⃣ Effortlessly identify potential hazards such as crash edges and overhanging obstacles. 🔗 Deepen your knowledge and understanding of this cutting-edge LiDAR technology by exploring its features and applications here: https://bit.ly/48xyfpC #sicksensorintellegence #LiDARsensors

Happy to share that our paper titled “X-ICP: Localizability-Aware LiDAR Registration for Robust Localization in Extreme Environments” has been accepted for publication in IEEE Transactions on Robotics. LiDAR-based odometry estimation solutions are widely used in research and industrial applications to provide reliable robot pose estimates and accurate environment maps. However, these solutions rely on the geometric structure of the environment to provide sufficient constraints for convergence to the correct solution. In scenarios with limited or ambiguous geometric features, the optimization solutions can become ill-conditioned, leading to incorrect estimates. The underlying challenge is not the presence of outliers in the data, but the informativeness of the data points included in the optimization process. This issue becomes more prevalent as advanced autonomy solutions are deployed in increasingly challenging environments such as open natural fields, complex urban areas, and extreme environments such as underground mines, caves, and tunnels. In this work, led by Turcan Tuna in collaboration with Julian Nubert, Yoshua Nava, Marco Hutter, and myself, we present a solution to three problems: 1) reliably detecting, without threshold tuning, whether the operating environment is ill-conditioned in certain directions of motion; 2) minimizing the impact of ill-conditioning by resampling data points to maximize information along the direction of ill-conditioning; and 3) introducing additional ill-conditioning-aware constraints in LiDAR pose optimization to converge to the correct solution. We integrated our work into the commonly used Iterative Closest Point (ICP) algorithm and nicknamed it X-ICP for its suitability to operate in eXtreme environments. We tested our proposed method in different complex environments and demonstrated that it not only achieves the correct solution but also maintains real-time performance. Please see the paper and video below for more details. The work will also be presented at the upcoming IEEE RAS ICRA 2024 conference, where you can connect with us for further discussion. Video: https://lnkd.in/gBQWENqp Paper: https://lnkd.in/g9PK6BKY #autonomous #robots #robotics #localiztion #mapping #slam #mining #subterranean

Unitree Released B2 | The Most Advanced Quadruped Robot The Unitree B2 quadruped features an enhanced lidar for obstacle detection and navigation. The B2 is also equipped with a quick-change battery with 45 Ah (2250 WHO) capacity. This provides the robot with a battery life of 4-6 hours. Unitree said this translates into operations when walking without a load greater than 5 hours and a mileage range of greater than 20km. When walking with a 20kg load, the battery life is greater than 4 hours and a mileage range greater than 15km. Unitree B2 四足動物は、障害物の検出とナビゲーションのための強化された LIDAR を備えています。 B2 には、45 Ah (2250 Who) 容量のクイック交換バッテリーも装備されています。 これにより、ロボットのバッテリー寿命は 4 ～ 6 時間になります。 ユニツリーによれば、これは5時間以上無負荷で20km以上の走行距離を歩いた場合の動作に相当するとのこと。 20kgの荷重で歩いた場合、バッテリー寿命は4時間以上、走行距離は15km以上です。 https://lnkd.in/e6vVKWyq

𝑳𝒊𝑫𝑨𝑹 𝑬𝒙𝒑𝒆𝒓𝒊𝒆𝒏𝒄𝒆 OGS Indonesia teams visited from CHC Navigation | CHCNAV Indonesia a couple of weeks ago. We try the new instrument from #CHCNAV #RS10 Handheld SLAM LiDAR #LaserScanning. 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐧𝐨 𝐨𝐫𝐝𝐢𝐧𝐚𝐫𝐲 𝐥𝐢𝐝𝐚𝐫, 𝐭𝐡𝐢𝐬 𝐢𝐬 𝐒𝐋𝐀𝐌 𝐋𝐢𝐃𝐀𝐑. #SLAM (Simultaneous Localization and #Mapping) is a computational technique that allows a #robot to map the #environment and determine its position on the #map. SLAM #LiDAR can provide highly accurate maps and real-time localization. LiDAR can also collect accurate and precise data about things that may be difficult for the #human eye to observe.

Achieving 20cm localization accuracy using our Radar-based localization system on ice roads. We use 12 MWRadars and intensity levels to encode the existence probability of environmental features in the map and observation images. The most challenging issues are to (1) robustifying image matching against the sparse existence of environmental features, (2) compensating for the change of the road representation in the observation image due to the thick accumulative snow that prevents radar’s waves from reaching landmarks and (3) integrating the estimated correlation between map and observation images into a probabilistic framework to control the correctness of Dead-Reckoning measurements. Regardless of the impressive results, LiDAR capability should be also utilized properly to increase the accuracy and safety in such critical road/environmental conditions. More videos and further details can be found at  https://lnkd.in/gBhfeFef

Benewake (Beijing) Co., Ltd. CompoTEK #followus tekmodul #followus 📢 Benewake's mass-produced, #high-#performance AD2-S-X3 #LiDAR was #officially #launched and commenced global sales.  This #new #product, #tailor-#made for #intelligent #transportation #scenarios, can be #widely #applied and #globally #deployed in sectors such as #roads, #civil #aviation, #rail #transit, #shipping, and #mining #trucks. 👇 Click the link below to learn more about the details of the new product： https://lnkd.in/gw2GvkJa

✨Highlights for this Hot Article  1. The sliding mode guidance technology based on angle constraints with finite-time convergence is devised.  2. The trajectory tracking problem is handled by effectively transforming it into a guidance problem with angle constraints.  3. The “offline planning + online flight” strategy is proposed for integrating both path planning and trajectory tracking problems. 🗞️Automated Flight Technology for Integral Path Planning and #Trajectory #Tracking of the #UAV 👨🏫 by Mengjing Gao, Tian Yan, Wenxing Fu, Zhenfei Feng and Hang Guo 👉 https://lnkd.in/gQV--nJM

Geospatial. LiDAR. Potential. Did you know that this 3D laser scanning technology could revolutionise aviation safety by enabling the detection of clear-air turbulence up to 32km ahead of an aircraft? Watch this CNA clip.

Seeing you at Modex Atlanta March 11-14！ Why AMR needs 3D LiDAR? 1.Mapping and Localization: 3D LiDAR offers more comprehensive and accurate point cloud data to create detailed maps which is crucial for simultaneous localization and navigation (SLAM). 2.Dynamic Environment Perception: VanJee 3D LiDAR helps AMR perceive their surrounding in three dimensions which can better detect objects and enhance safety of navigation. VanJee 719C (3D-4Line) LiDAR has powerful detection capability with 40-meter ranging, 0.2° horizontal resolution and unique four line design which can enhance AMR detection accuracy and safety in autonomous operation.