63 citations · 147 across the 32 of their papers we have counts for
5 papers · 2 filters
Radar-Only Off-Road Local Navigation
Timothy Overbye, Srikanth Saripalli
Off-road robotics have traditionally utilized lidar for local navigation due to its accuracy and high resolution. However, the limitations of lidar, such as reduced performance in…
Online Multi-IMU Calibration Using Visual-Inertial Odometry
Jacob Hartzer, Srikanth Saripalli
This work presents a centralized multi-IMU filter framework with online intrinsic and extrinsic calibration for unsynchronized inertial measurement units that is robust against cha…
WiDEVIEW: An UltraWideBand and Vision Dataset for Deciphering Pedestrian-Vehicle Interactions
Jia Huang, Alvika Gautam, Junghun Choi +1
Robust and accurate tracking and localization of road users like pedestrians and cyclists is crucial to ensure safe and effective navigation of Autonomous Vehicles (AVs), particula…
Learning Pedestrian Actions to Ensure Safe Autonomous Driving
Jia Huang, Alvika Gautam, Srikanth Saripalli
To ensure safe autonomous driving in urban environments with complex vehicle-pedestrian interactions, it is critical for Autonomous Vehicles (AVs) to have the ability to predict pe…
Improving Extrinsics between RADAR and LIDAR using Learning
Peng Jiang, Srikanth Saripalli
LIDAR and RADAR are two commonly used sensors in autonomous driving systems. The extrinsic calibration between the two is crucial for effective sensor fusion. The challenge arises…