The high diversity of urban environments, at both the inter and intra levels, poses challenges
for robotics research. Such challenges include discrepancies in urban features between …

Sensor setups consisting of a combination of 3D range scanner lasers and stereo vision
systems are becoming a popular choice for on-board perception systems in vehicles; …

Fusion of laser range finder (LRF) and camera is widely used in the field of intelligent mobile
robots for performing various tasks, such as autonomous navigation, 2D or 3D mapping …

As simultaneous localization and mapping (SLAM) techniques have flourished with the
advent of 3D Light Detection and Ranging (LiDAR) sensors, accurate 3D maps are readily …

This letter presents a framework for the target-less extrinsic calibration of stereo cameras
and light detection and ranging (LiDAR) sensors with a non-overlapping field of view (FOV) …

LiDAR and cameras have been broadly utilized in computer vision and autonomous vehicle
applications. However, in order to convert data between the local coordinate systems, we …

In this article, an automatic and targetless extrinsic calibration method is proposed for the
light detection and ranging (LiDAR)–camera system, which can calibrate extrinsic …

A 2-D and 3-D sensor extrinsic calibration is the key prerequisite for multisensor-based robot
perception and localization. However, such calibration is challenging due to the variety of …

Multi-modal sensing often involves determining correspondences between each domain's
signals, which in turn depends on the accurate extrinsic calibration of the sensors …

We detail the design of autonomous golf cars which were used in public trials in Singapore's
Chinese and Japanese Gardens, for the purpose of raising public awareness and gaining …