… can be detected by aircraft or unmanned aerial vehicles and other means of intelligence. The
… Existing anti-collision algorithms used in RFID systems with a semiconductor chip are not …

… Abstract: UAV (Unmanned Aerial Vehicle) swarm, with its … This paper comprehensively
reviews of the recent progress in the … Tactical intention recognition method of air combat target …

… of ship targets in video surveillance based on shallow machine learning methods is still … a
review and discussion for this kind of ship detection methods. The ship target detection based …

… -based vehicle detector, the CMOS IC of vehicle detector (first … So we choose it to implement
our anti-collision system. In … algorithm is a suitable method from the literature review. In the …

… The design of the vehicle anti-collision alarm apparatus based on distance laser … Vehicle
detection techniques for collision avoidance systems: A review[J]. IEEE Transactions on …

… Density-based vehicle detection approach for automotive millimeter-wave radar[C]. The 2020
… A deep learning-based radar and camera sensor fusion architecture for object detection[J]. …

… Being as the cornerstone in the process of vehicular … First, a brief history of vehicle
automation is reviewed. Then, key … anti-collision warning system based on monocular vision …

… Research on anti-collision technology based on 5G between UAV and civil … planning for
unmanned aerial vehicles in complicated urban environments:A control network approach[J]. …

… The related philosophical methods are applied to achieve interconnections among the …
channels are resources for distribution of autonomous sensors that support data transmission. …

… approach based on deep dueling Q-learning, A * algorithm, and navigation experience and
rules was proposed for unmanned … 示的12条长度均为R sensor 的扫描线检测本船周围的航行…