A review of motion planning for highway autonomous driving
L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …
that they will sell their driving automation modes in the 2020s. This technology raises …
Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
Multimodal trajectory predictions for autonomous driving using deep convolutional networks
Autonomous driving presents one of the largest problems that the robotics and artificial
intelligence communities are facing at the moment, both in terms of difficulty and potential …
intelligence communities are facing at the moment, both in terms of difficulty and potential …
A review of sensor technologies for perception in automated driving
After more than 20 years of research, ADAS are common in modern vehicles available in the
market. Automated Driving systems, still in research phase and limited in their capabilities …
market. Automated Driving systems, still in research phase and limited in their capabilities …
[HTML][HTML] Automated driving recognition technologies for adverse weather conditions
K Yoneda, N Suganuma, R Yanase, M Aldibaja - IATSS research, 2019 - Elsevier
During automated driving in urban areas, decisions must be made while recognizing the
surrounding environment using sensors such as camera, Light Detection and Ranging …
surrounding environment using sensors such as camera, Light Detection and Ranging …
Radar sensors for autonomous driving: Modulation schemes and interference mitigation
F Roos, J Bechter, C Knill, B Schweizer… - IEEE Microwave …, 2019 - ieeexplore.ieee.org
Autonomous driving is currently the focus of considerable media attention, and the
automotive industry is working on harnessing technological advances to accelerate …
automotive industry is working on harnessing technological advances to accelerate …
AADS: Augmented autonomous driving simulation using data-driven algorithms
Simulation systems have become essential to the development and validation of
autonomous driving (AD) technologies. The prevailing state-of-the-art approach for …
autonomous driving (AD) technologies. The prevailing state-of-the-art approach for …
Autonomous driving motion planning with constrained iterative LQR
Motion planning is a core technique for autonomous driving. Nowadays, there still exists a
lot of challenges in motion planning for autonomous driving in complicated environments …
lot of challenges in motion planning for autonomous driving in complicated environments …
Hybrid trajectory planning for autonomous driving in on-road dynamic scenarios
A safe trajectory planning for on-road autonomous driving is a challenging problem owing to
the variety and complexity of driving environments. The problem should involve the …
the variety and complexity of driving environments. The problem should involve the …
Project autovision: Localization and 3d scene perception for an autonomous vehicle with a multi-camera system
Project AutoVision aims to develop localization and 3D scene perception capabilities for a
self-driving vehicle. Such capabilities will enable autonomous navigation in urban and rural …
self-driving vehicle. Such capabilities will enable autonomous navigation in urban and rural …