• 목록
• 답변
• 글쓰기
• 게시판 리스트 옵션
  • 수정
  • 삭제

In future site visitors scenarios, autos and different traffic contributors will be interconnected and geared up with varied forms of sensors, allowing for iTag Pro cooperation based on knowledge or info exchange. This text presents an strategy to cooperative tracking of cyclists using smart units and infrastructure-primarily based sensors. A smart device is carried by the cyclists and an intersection is geared up with a wide angle stereo camera system. Two monitoring fashions are presented and compared. The primary model relies on the stereo digicam system detections only, whereas the second model cooperatively combines the digicam based detections with velocity and yaw fee data offered by the good device. Our aim is to overcome limitations of monitoring approaches based mostly on single information sources. We show in numerical evaluations on scenes the place cyclists are beginning or turning proper that the cooperation leads to an improvement in each the ability to maintain observe of a cyclist and the accuracy of the monitor significantly relating to occlusions in the visible system. We, therefore, contribute to the security of weak highway customers in future traffic.

Internet connection, share the highway with vulnerable highway customers (VRUs), such as pedestrians and cyclists, outfitted with good devices. Each of them itself determines and repeatedly maintains an area model of the encompassing traffic situation. This mannequin does not solely contain information by every visitors participant’s personal sensory perception, but is the results of cooperation with other visitors individuals and infrastructure in the native atmosphere, e.g., based on vehicular advert hoc networks. This joint information is exploited in various methods, e.g., iTag Pro to increase the perceptual horizon of individual road customers beyond their own sensory capabilities. Although modern automobiles possess many ahead trying security programs primarily based on numerous sensors, nonetheless harmful conditions for VRUs can happen on account of occlusions or sensor malfunctions. Cooperation between the totally different road customers can resolve occlusion situations and enhance the overall performance relating to measurement accuracy, e.g., precise positioning. In this article we propose a cooperative method to trace cyclists at an city intersection robustly and precisely.

In distinction to bare knowledge fusion, cooperation also captures the interactions between different contributors. Therefore, we use cooperation as an umbrella term together with fusion as an integral half. The main contribution of this text is an strategy to cooperatively detect and monitor the place of cyclists at an city intersection. The proposed technique incorporates positional info originating from the digicam tracks of the cyclist’s head trajectory in addition to velocity and yaw charge estimates originating from a sensible device carried by the cyclist. This information is adaptively combined utilizing an prolonged Kalman filtering method. The resulting cooperative monitoring mechanism is correct and, furthermore, it could actually cope with short time period occlusion. The novel metric MOTAP is introduced to guage the benefit of cooperation in comparison to a single entity approach. The remainder of this article is structured as follows: In Sec. II, the associated work in the sphere of cooperative transportation and tracking strategies together with good devices is reviewed.

Sec. III describes the general method to cooperatively observe cyclists. The strategies and metrics used for evaluation are described in Sec. IV. In Sec. V, the experimental results are offered. Finally, in Sec. VI the principle conclusions and the open challenges for future work are discussed. Many dangerous situations involving vehicles and VRUs happen in urban areas. Nevertheless, they targeted on pedestrians and didn't embody smart units. Thielen et al. introduced a prototype system incorporating a automobile with the ability of Car-to-X communication and a cyclist with a WiFi enabled smartphone. An analogous prototype system including Car-to-Pedestrian communication was proposed by Engel et. However, the monitoring of the VRU is limited by its positional accuracy because of the utilization of smartphone sensors only. It doesn't make use of a cooperative tracking mechanism. Another method, combining a radar equipped infrastructure and smart units in a cooperative approach is described by Ruß et. The radar data is used to correct the worldwide navigation satellite system (GNSS) place data of the smartphone utilizing a easy mixture mechanism with mounted weights.