Lateral Velocity
Lateral velocity, a crucial parameter in various fields, is the subject of ongoing research focusing on accurate and efficient estimation methods. Current efforts involve integrating data from diverse sources like inertial measurement units (IMUs), cameras (both traditional and event-based), and LiDAR, often employing Kalman filters or other optimization techniques to fuse these inputs and account for noise. These advancements are significant for improving autonomous navigation in robotics, enhancing vehicle safety and control, and enabling more precise analysis of athletic performance and other dynamic systems.
Papers
Passive Obstacle Aware Control to Follow Desired Velocities
Lukas Huber, Thibaud Trinca, Jean-Jacques Slotine, Aude Billard
Guess the Drift with LOP-UKF: LiDAR Odometry and Pacejka Model for Real-Time Racecar Sideslip Estimation
Alessandro Toschi, Nicola Musiu, Francesco Gatti, Ayoub Raji, Francesco Amerotti, Micaela Verucchi, Marko Bertogna