Autonomous vehicles demand high accuracy and robustness of perception
al...
Autonomous vehicles (AVs) are being rapidly introduced into our lives.
H...
In this paper, we present a novel method for integrating 3D LiDAR depth
...
Autonomous racing with scaled race cars has gained increasing attention ...
Robot localization is an inverse problem of finding a robot's pose using...
Deep reinforcement learning (DRL) is a promising method to learn control...
Although robotics courses are well established in higher education, the
...
Autonomous Racing awards agents that react to opponents' behaviors with ...
The 3rd Japan Automotive AI Challenge was an international online autono...
For decades, motorsport has been an incubator for innovations in the
aut...
Autonomous systems are composed of several subsystems such as mechanical...
The rising popularity of self-driving cars has led to the emergence of a...
Motorsport has always been an enabler for technological advancement, and...
In literature, scientists describe human mobility in a range of granular...
High-performance autonomy often must operate at the boundaries of safety...
The rising popularity of driver-less cars has led to the research and
de...
Automotive traffic scenes are complex due to the variety of possible
sce...
With the evolution of self-driving cars, autonomous racing series like
R...
The development of software components for autonomous driving functions
...
The way to full autonomy of public road vehicles requires the step-by-st...
Trajectory planning at high velocities and at the handling limits is a
c...
Object detection in camera images, using deep learning has been proven
s...
Electric vhicles and autonomous driving dominate current research effort...
3D object detection based on monocular camera data is a key enabler for
...