Applications of optical microcombs
Optical microcombs represent a new paradigm for generating laser frequency combs based
on compact chip-scale devices, which have underpinned many modern technological …
on compact chip-scale devices, which have underpinned many modern technological …
[HTML][HTML] Autonomous driving architectures: insights of machine learning and deep learning algorithms
MR Bachute, JM Subhedar - Machine Learning with Applications, 2021 - Elsevier
Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …
advantages of autonomous driving systems. The main advantage being the disassociation …
Fast-lio2: Fast direct lidar-inertial odometry
This article presents FAST-LIO2: a fast, robust, and versatile LiDAR-inertial odometry
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
framework. Building on a highly efficient tightly coupled iterated Kalman filter, FAST-LIO2 …
Gpt-driver: Learning to drive with gpt
We present a simple yet effective approach that can transform the OpenAI GPT-3.5 model
into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge …
into a reliable motion planner for autonomous vehicles. Motion planning is a core challenge …
Learning from all vehicles
D Chen, P Krähenbühl - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
In this paper, we present a system to train driving policies from experiences collected not just
from the ego-vehicle, but all vehicles that it observes. This system uses the behaviors of …
from the ego-vehicle, but all vehicles that it observes. This system uses the behaviors of …
Lidar for autonomous driving: The principles, challenges, and trends for automotive lidar and perception systems
Y Li, J Ibanez-Guzman - IEEE Signal Processing Magazine, 2020 - ieeexplore.ieee.org
Autonomous vehicles rely on their perception systems to acquire information about their
immediate surroundings. It is necessary to detect the presence of other vehicles …
immediate surroundings. It is necessary to detect the presence of other vehicles …
Computing systems for autonomous driving: State of the art and challenges
The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …
learning, and hardware acceleration) and the broad deployment of communication …
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
End-to-end urban driving by imitating a reinforcement learning coach
End-to-end approaches to autonomous driving commonly rely on expert demonstrations.
Although humans are good drivers, they are not good coaches for end-to-end algorithms …
Although humans are good drivers, they are not good coaches for end-to-end algorithms …
Massively parallel coherent laser ranging using a soliton microcomb
Coherent ranging, also known as frequency-modulated continuous-wave (FMCW) laser-
based light detection and ranging (lidar) is used for long-range three-dimensional distance …
based light detection and ranging (lidar) is used for long-range three-dimensional distance …