background: this toxicological investigation involves a report on the death of four ‎occupants of a sport utility vehicle on one of the major busy federal roads of nigeria ‎where they were held for up to three hours in a traffic jam while the car was steaming.‎ methods: autopsy was executed using the standard procedure and toxicological ‎analysis was done using simple spectrophotometric method ...

The ALVINN (Autonomous Land Vehicle In a Neural Network) project addresses the problem of training arti cial neural networks in real time to perform di cult perception tasks. ALVINN is a back-propagation network designed to drive the CMU Navlab, a modi ed Chevy van. This paper describes the training techniques which allow ALVINN to learn in under 5 minutes to autonomously control the Navlab by ...

For early-successional species, road and powerline cuts through forests provide refugia and source populations for invading adjacent forest gaps. Within an 800 km’ forest matrix in South Carolina, we determined if width. disturbance frequency or linear features of road and powerline cuts influenced the mound distribution of the red imported tire ant, Solenopsis invicta Buren. For each of live l...

Methods Metal plates were covered with a seed-soil slurry, dried and attached to different locations underneath a vehicle. The vehicle was then driven on paved and unpaved roads under both wet and dry conditions. Plates were removed from the vehicle at seven distances between 4 and 256 km. The number of seeds remaining was determined. Four general models were assessed to explain observed seed r...

A pothole is an open crack developed on roads owing to varied climatic situations and exposure heavy-load trucks. Potholes are acting as one of the major causes accidents economic loss in repair vehicles. Hence this paper proposes a detection system that assists drivers avoiding potholes road by providing prior warnings using YOLOV7 machine learning technique. The warning can be like buzzer whi...

The ALVINN (Autonomous h d Vehide In a N d Network) projea addresses the problem of training ani&ial naxal naarork in real time to perform difficult perapaon tasks. A L W is a back-propagation network dmpd to dnve the CMU Navlab. a modided Chevy van. 'Ibis ptpa describes the training techniques which allow ALVIN" to luun in under 5 minutes to autonomously conm>l the Navlab by wardung ahuamr, dz...

Background: This toxicological investigation involves a report on the death of four ‎occupants of a sport utility vehicle on one of the major busy Federal roads of Nigeria ‎where they were held for up to three hours in a traffic jam while the car was steaming.‎ Methods: Autopsy was executed using the standard procedure and toxicological ‎analysis was done using simple spectrophotometric method...

The ALVINN (Autonomous Land Vehicle In a Neural Network) project addresses the problem of training artificial neural networks in real time to perform difficult perception tasks. ALVINN is a backpropagation network designed to drive the CMU Navlab, a modified Chevy van. This paper describes the training techniques that allow ALVINN to learn in under 5 minutes to autonomously control the Navlab b...

This paper introduces a complex, low-cost road pavement measurement system designed primarily for pothole and crack detection. The onboard system is composed of a GPS/INS navigation unit, an image acquisition module, and a photogrammetric and imageprocessing subsystem. Due to the use of structured light and the availability of accurate navigation data, the 3D coordinates of the road points, in ...

NARRATIVE SUMMARY Dust generated from the mechanical disturbance of granular material is known as " fugitive dust " since it is not released into the atmosphere in a restricted flow stream such as an exhaust pipe or smoke stack. Fugitive dust includes dust from unpaved roads, disturbed land in developed areas, agriculture, and undeveloped grazing land. Wind-blown and vehicle generated fugitive ...