To ensure safe autonomous driving in urban environments with complex
veh...
LIDAR and RADAR are two commonly used sensors in autonomous driving syst...
Visual-inertial navigation systems are powerful in their ability to
accu...
Cost-maps are used by robotic vehicles to plan collision-free paths. The...
Image and Point Clouds provide different information for robots. Finding...
In this work we present a novel method to jointly calibrate a sensor sui...
In this work, we present a novel Reinforcement Learning (RL) algorithm f...
We present a local 3D voxel mapping framework for off-road path planning...
This paper proposes SemCal: an automatic, targetless, extrinsic calibrat...
The development and implementation of visual-inertial odometry (VIO) has...
This paper develops a distributed collaborative localization algorithm b...
This paper summarizes the progress in developing a rugged, low-cost,
aut...
This work presents a novel extrinsic calibration estimation algorithm be...
We propose an algorithm for automatic, targetless, extrinsic calibration...
Off-road image semantic segmentation is challenging due to the presence ...
We present a method for path optimization for ground vehicles in off-roa...
Semantic scene understanding is crucial for robust and safe autonomous
n...
In this work we evaluate Iterative Linear Quadratic Regulator(ILQR) for
...
In this paper we perform an experimental comparison of three different t...
This work presents an extrinsic parameter estimation algorithm between a...
We present a boundary-aware domain adaptation model for Lidar point clou...
In this paper, we present a fast, on-line mapping and planning solution ...
This paper describes an autonomous shuttle which targets providing last-...
In this paper, we present a framework for performing collaborative
local...
Obstacle avoidance is a key feature for safe Unmanned Aerial Vehicle (UA...
In this paper, we present a vision based collaborative localization fram...