Abstract: In autonomous robot systems, accurate object recognition and estimation are crucial for ensuring reliable performance, and sensor fusion techniques that combine complementary sensors have ...

The digitalisation of rail transport requires precise, up-to-date and reliable data. How such data can be efficiently derived from mobile measurement systems is demonstrated by Jakob Schubert and ...

According to Sawyer Merritt, Rivian CEO RJ Scaringe stated in a new interview that the company is integrating LiDAR with cameras and radar in its self-driving vehicles to address the current ...

ROS 2 (Humble) 向けのセンサフュージョンパッケージです． 1次元の温度センサ融合から始まり，任意次元のシステムや任意のセンサ数に拡張可能な，汎用N次元カルマンフィルタノードを提供します． ...

I live in New Jersey, one of the states that mandates inspection for all vehicles newer than 1995. My daily driver, a Jeep Cherokee, happens to be a 1996 model year with an OBD-II sensor, meaning I ...

End-to-end (E2E) autonomous driving aims to simplify the traditional modular pipeline by directly mapping multi-sensor inputs to driving actions through deep learning, enabling joint optimization and ...

To achieve autonomous vehicle (AV) operation, sensing techniques include radar, LiDAR, and cameras, as well as infrared (IR) and/or ultrasonic sensors, among others. No single sensing technique is ...

The ambitious advances made under the umbrella of autonomy have provided the survey, construction, and even commercial markets with a massive edge in recent years. Much like the space race more than ...

DEARBORN, MI—Several decades ago, Ford Motor Co. made big strides in quality. In fact, back in the 1980s, it spent millions on an ad campaign entitled “Quality is Job 1”. But, in recent years, the ...

Abstract: In this paper, sensor fusion with feedback is investigated for robust target tracking in unmanned ground vehicles subject to missing measurements. Missing measurements are inevitable in ...