16 skills found
LudwigFriedmann / OpenMATERIAL3D model exchange format with physical material properties for virtual development, test and validation of automated driving.
semiluna / TangoYou are tasked with the development of an autonomous drone delivery system for light-weight package transportation around the West Cambridge site. By using high-fidelity drone models from the new MathWorks UAV Toolbox, you will develop an autonomous ground control system that coordinates one (or more!) drones around the site. Consider how to incorporate path and task planning, motor and plant control, and sensing & perception for navigation and obstacle avoidance. Evaluation in the realistic UE4 simulation will include simulated sensor data from 3D LIDAR readings and simulated camera input.
AICPS / HydrafusionModel code for our paper titled "HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception"
top-yun / SPARKA benchmark dataset and simple code examples for measuring the perception and reasoning of multi-sensor Vision Language models.
openMSL / Sl 1 2 Reflection Based Lidar Object ModelSETLevel: OSI / FMI compliant radar or lidar sensor system model, depending on parametrization.
Walid-khaled / Multidimensional Kalman Filter With Sensor FusionIn this repository, Multidimensional Kalman Filter and sensor fusion are implemented to predict the trajectories for constant velocity model. Data is extracted from GPS and Accelerometer using mobile phone. It is apart of Assignment3 in Sensing, Perception and Actuation course for ROCV master's program at Innopolis University.
openMSL / Sl 1 3 Object Based Generic Perception Object ModelSETLevel: OSI / FMI compliant radar or lidar sensor system model, depending on parametrization.
openMSL / Sl 1 0 Sensor Model Repository TemplateTemplate repository: Clone and build your ASAM OSI sensor model.
openMSL / Sl 1 1 Reflection Based Radar Object ModelSETLevel: OSI / FMI compliant radar sensor system model, depending on parametrization.
TUDa-FZD / Reflection Based Lidar Object ModelAll issues, discussions etc. on mirror: https://gitlab.com/tuda-fzd/perception-sensor-modeling/reflection-based-lidar-object-model
TUDa-FZD / Object Based Generic Perception Object ModelAll issues, discussions etc. on mirror: https://gitlab.com/tuda-fzd/perception-sensor-modeling/object-based-generic-perception-object-model
openMSL / Sl 1 4 Object Based Camera Object ModelSETLevel: Object based mono camera object model.
PoojaPatel35 / Human Activity Recognition Mobily Path PredictionIndividual Mobility is the study that depicts how individuals move inside a region or system. As of late a few researches have been accomplished for this reason and there has been a flood in enormous informational accessible in individual developments. Most of these information’s are gathered from cellphone or potentially GPS with variable accuracy relying upon the distance from the tower. Enormous scope information, for example, cell phone follows are significant hotspot for urban modeling. The individual travel designs breakdown into a solitary likelihood distribution however despite the assorted variety of their travel history people follow basic reproducible examples. This similitude in movement example can help us in an extremely different zones of utilizations, for example, city arranging, traffic building, spread of disease and versatile infections. The motive of this project is to show that by utilizing a measure of direct estimation that human directions do follow a few high reproducible scaling designs. Activity recognition expects to perceive the activities and objectives of at least one operator from a progression of perceptions on the specialists' activities and the natural conditions. Human movement acknowledgment, which is one of the developing fields of research, plans to figure out which action is finished by people. Some true applications, for example, health monitoring, abnormal behavior detection, and sport. In this way, it is a troublesome issue given the enormous number of perceptions delivered each second, the fleeting idea of the perceptions, and the absence of an unmistakable method to relate accelerometer information to known developments. Keen PDAs presently fuse numerous different and ground-breaking sensors, for example, GPS sensors, vision sensors, sound sensors, light sensors, temperature sensors, course sensors and speeding up sensors. This project is about utilizations telephone-based accelerometers to perform activity recognition, which includes identifying the physical movement a user is performing
connected-wise / VisionSenseVisionSense is a comprehensive ROS2-based computer vision system designed for autonomous vehicles running on NVIDIA Jetson platforms with JetPack 6.2. It provides a complete perception pipeline with real-time object detection, lane detection, traffic sign recognition, stereo depth estimation, and driver monitoring capabilities.
TUDa-FZD / Modular OSMP FrameworkAll issues, discussions etc. on mirror: https://gitlab.com/tuda-fzd/perception-sensor-modeling/modular-osmp-framework
ChiefAj23 / ReAL ReflectiveAttack Detection LidarThis repo implements an SVM model to detect and mitigate reflective attacks on LiDAR systems. Reflective surfaces can disrupt LiDAR perception, leading to unreliable sensor readings, especially in AVs. By integrating machine learning with LiDAR data, this approach enhances detection accuracy and ensures reliable operation.
