An autonomous drone for search and rescue in forests using airborne optical sectioning.

Autonomous drones will play an essential role in human-machine teaming in future search and rescue (SAR) missions. We present a prototype that finds people fully autonomously in densely occluded forests. In the course of 17 field experiments conducted over various forest types and under different flying conditions, our drone found, in total, 38 of 42 hidden persons. For experiments with predefined flight paths, the average precision was 86%, and we found 30 of 34 cases. For adaptive sampling experiments (where potential findings are double-checked on the basis of initial classification confidences), all eight hidden persons were found, leading to an average precision of 100%, whereas classification confidence was increased on average by 15%. Thermal image processing, classification, and dynamic flight path adaptation are computed on-board in real time and while flying. We show that deep learning-based person classification is unaffected by sparse and error-prone sampling within straight flight path segments. This finding allows search missions to be substantially shortened and reduces the image complexity to 1/10th when compared with previous approaches. The goal of our adaptive online sampling technique is to find people as reliably and quickly as possible, which is essential in time-critical applications, such as SAR. Our drone enables SAR operations in remote areas without stable network coverage, because it transmits to the rescue team only classification results that indicate detections and can thus operate with intermittent minimal-bandwidth connections (e.g., by satellite). Once received, these results can be visually enhanced for interpretation on remote mobile devices.

Characteristics of surfers as bystander rescuers in Europe.

INTRODUCTION: Coastal locations contribute significantly to global drowning, with surfers frequently conducting rescues. This study explored the characteristics of surfers as bystander rescuers in Europe. METHODS: A cross-sectional online survey collected demographics (age, sex, geographical location), surfing experience, ability, lifesaving and cardiopulmonary resuscitation (CPR) training, information seeking behaviors and previous performance of a rescue. Analyses comprised descriptive frequencies, binomial logistic regression with adjusted odds ratio (AOR) (95% confidence interval [CI]) and chi-squares (p < .05). RESULTS: Europe-dwelling respondents totaled 1705 (76% male; 43% 25-34 years). Thirty-nine percent (39.2%; n = 668) had previously performed a rescue. Likelihood of having conducted a rescue significantly increased with 6 or more years of surfing experience (6-10 years [AOR = 1.96; 95%CI: 1.20-3.22]; 11-15 years [AOR = 3.26; 95%CI: 1.56-6.79]; 16 years or more [AOR = 4.27; 95%CI: 2.00-9.11]) when compared to surfers with <1 year experience. Expert/professional ability surfers were 10.89 times (95%CI: 4.72-25.15) more likely to have conducted a rescue than novice/beginners. Respondents who had received both a certified lifeguard and CPR course were significantly more likely to have conducted a rescue (AOR = 3.34; 95%CI: 2.43-4.60). CONCLUSION: Surfers who had previously conducted rescues commonly had more years of experience, higher self-rated surf ability and greater likelihood of having received certified training. However, not all surfers who have performed rescues had received training. Findings suggest surfers should receive rescue and CPR training before they start surfing at locations without trained supervision and refresh training regularly. Surfers are amenable to injury prevention information, especially online and via apps.

Attribution of physical complaints to the air disaster in Amsterdam by exposed rescue workers: an epidemiological study using historic cohorts.

BACKGROUND: In 1992 a cargo aircraft crashed into a residential area of Amsterdam. A troublesome aftermath followed, with rumors on potential toxic exposures and health consequences. Health concerns remained even though no excess morbidity was predicted in retrospective risk evaluations. This study aimed to assess to what extent the rescue workers attribute long-term physical complaints to this disaster, including its aftermath, and to examine associations between such attribution and types of exposure and background variables. METHODS: Historic cohort study that collected questionnaire data on occupational disaster exposure, attribution of physical complaints, and background variables on average 8.5 years post-disaster. For the present study the workers who were exposed to the disaster were selected from the historic cohort, i.e. the professional firefighters (n = 334), police officers (n = 834), and accident and wreckage investigators (n = 241) who performed disaster-related tasks. RESULTS: Across the three occupational groups, a consistent percentage (ranging from 43% to 49%) of exposed workers with long-term physical complaints attributed these to the disaster, including its aftermath. Those with more physical complaints attributed these to a stronger degree. Multivariate logistic regression analyses showed that attribution was significantly more often reported by firefighters who rescued people, and by police officers who reported the identification and recovery of or search for victims and human remains, clean-up, or security and surveillance of the disaster area; who witnessed the immediate disaster scene; who had a close one affected by the disaster; and who perceived the disaster as the worst thing that ever happened to them. Age, sex and educational level were not significantly associated with attribution. CONCLUSION: This study provides further cross-sectional evidence for the role of causal attribution in post-disaster subjective physical health problems. After on average 8.5 years, almost a third (32%) of all the exposed workers, and almost half (45%) of the exposed workers with physical complaints, attributed these complaints to the disaster, including its aftermath. The similarity of the results across the occupational groups suggests a general rather than an occupation-specific attribution process. Longitudinal studies are needed to determine whether causal disaster attribution leads to persistence of post-disaster complaints and health care utilization.