Self-driving cars: A survey
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …
cars developed since the DARPA challenges, which are equipped with an autonomy system …
Automotive radar signal processing: Research directions and practical challenges
F Engels, P Heidenreich… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Automotive radar is used in many applications of advanced driver assistance systems and is
considered as one of the key technologies for highly automated driving. An overview of state …
considered as one of the key technologies for highly automated driving. An overview of state …
Robust multimodal vehicle detection in foggy weather using complementary lidar and radar signals
Vehicle detection with visual sensors like lidar and camera is one of the critical functions
enabling autonomous driving. While they generate fine-grained point clouds or high …
enabling autonomous driving. While they generate fine-grained point clouds or high …
Tpcn: Temporal point cloud networks for motion forecasting
Abstract We propose the Temporal Point Cloud Networks (TPCN), a novel and flexible
framework with joint spatial and temporal learning for trajectory prediction. Unlike existing …
framework with joint spatial and temporal learning for trajectory prediction. Unlike existing …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
A survey of fpga-based robotic computing
Recent researches on robotics have shown significant improvement, spanning from
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …
algorithms, mechanics to hardware architectures. Robotics, including manipulators, legged …
A review of deep learning-based methods for pedestrian trajectory prediction
BI Sighencea, RI Stanciu, CD Căleanu - Sensors, 2021 - mdpi.com
Pedestrian trajectory prediction is one of the main concerns of computer vision problems in
the automotive industry, especially in the field of advanced driver assistance systems. The …
the automotive industry, especially in the field of advanced driver assistance systems. The …
Epsilon: An efficient planning system for automated vehicles in highly interactive environments
In this article, we present an efficient planning system for automated vehicles in highly
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …
Decision-making technology for autonomous vehicles: Learning-based methods, applications and future outlook
Q Liu, X Li, S Yuan, Z Li - 2021 IEEE International Intelligent …, 2021 - ieeexplore.ieee.org
Autonomous vehicles have a great potential in the application of both civil and military fields,
and have become the focus of research with the rapid development of science and …
and have become the focus of research with the rapid development of science and …
Coherent automotive radar networks: The next generation of radar-based imaging and mapping
M Gottinger, M Hoffmann, M Christmann… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Imaging radar is a key perception technology for automotive and industrial applications. A lot
of progress has been made with high channel count systems, deploying, for example, 12 …
of progress has been made with high channel count systems, deploying, for example, 12 …