Announcing our second #ICRA2024 paper (2/3): Numerous multi-object tracking methods blindly trust incoming object detections with no sense of their associated uncertainty. This lack of uncertainty awareness poses a problem in safety-critical tasks such as autonomous driving. To that end, we introduce UncertaintyTrack, a collection of extensions that can be applied to existing trackers to account for localization uncertainty estimates from probabilistic object detectors. Take a look at our #ICRA2024 paper: "UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking" by Chang Won (John) Lee and Steven Lake Waslander from the University of Toronto. Paper: https://lnkd.in/gzEW_8ZJ Video: https://lnkd.in/gG7aaktj #ICRA24 #uncertainty #robotics #autonomousdriving #objectdetection #tracking
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Sim-to-Rerun: Using Rerun to visualize CARLA simulator output through ROS 2. This example visualizes simulated sensor data from the CARLA simulator for autonomous driving in Rerun. It’s built using Rerun’s new proof-of-concept C++ ROS2 bridge, which currently has support for a limited set of message types. Rerun is to our knowledge the most performant multimodal visualizer out there and is already used by some of the best teams in the world. We’re continuing our push to make Rerun useful for more Robotics teams and this example and PoC ROS 2 bridge is another step in that direction. Official ROS 2 and MCAP support will be coming down the line, but in the meantime we hope this example will provide a useful starting point for anyone that wants to use Rerun with their ROS 2 project. You can find a link to the example and ROS 2 bridge in the comments. #ROS #Multimodal #Robotics #Simulation
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What are the chances of human extinction when robots are mass-produced? Autonomous AI in mass-produced robots could pose a 40-50% risk of human extinction due to potential control over critical systems. Ensuring AI alignment and implementing robust safety measures before AI achieves full capabilities is crucial. While AI might recognize the value of sentient life, it could also see humanity as a minor obstacle to its grand vision.
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Based on Science, Backed by Data, Powered by Jetson Nano single board computer. Learn to build Autonomous Delivery Robot with precise GPS navigation, 360 degree laser scanning LiDAR based collision avoidance. Capture vision data on the go to train the artificial neural network using regression techniques. Talk To Our Team of Industry Experts @CodingScientist At Our YouTube Channel For Details: https://lnkd.in/g_tN-9VF #robotics #robot #ros2 #autonomousvehicles #artificialintelligence #ai
Autonomous Delivery Robot
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Master Edge Cases with iMerit to navigate the complexities of autonomous mobility! In this video, iMerit’s VP of Strategic Business & Development, Jai Natarajan, delves into an autonomous mobility case study, emphasizing the critical importance of self-driving vehicles comprehending their spatial surroundings. An edge case is just the tip of the iceberg, and iMerit has the expertise to guide you through. Watch now: https://hubs.ly/Q02psjsy0 #EdgeCases #AutonomousVehicles #AI #ML
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