23 results about "Road debris" patented technology

Embodiments relate to hazard detection in autonomous and semi-autonomous systems and applications. A transformer may use sampled image and LiDAR features to extract and decode a representation of whether there is a hazard at the 3D location corresponding to each initial transformer query, the shape of the hazard, and / or its class. These detections may be provided to one or more control components of an autonomous vehicle, which may use the detections to navigate, plan, or otherwise perform one or more operations (e.g., obstacle avoidance, lane keeping, lane changing, merging, splitting, etc.). Some embodiments employ an automated approach to derive ground truth data from sensor data collected by data collection vehicle(s), such as data representing detected static scene points, navigable space boundaries, or detected hazard objects. Accordingly, hazards such as road debris and other obstacles may be detected and ground truth data may be generated for a variety of sensing tasks.

A system may comprise a vehicle having a frame. One or more rails may form at least a portion of the frame. The system may comprise a container configured to be mounted to the one or more rails. The system may comprise a plurality of battery packs positioned within the container below the one or more rails. Each of the plurality of battery packs may extend across an entire length of the container. The system may comprise a power distribution unit (PDU) to which the plurality of battery packs are connected. The plurality of battery packs may be configured to provide power to at least one component of the vehicle via the PDU. The container may protect against road debris and moisture.

1. Name of the product in this design: Dust removal blower. 2. Purpose of this design: It can be used for dust removal during car washing, and can also be used as a tool for blowing away road debris, snow, and fallen leaves. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design points: Combined state diagram 1.

The utility model relates to the technical field of road and bridge settlement detection, and provides a settlement deformation detection device, which is characterized in that a spraying assembly is arranged at the bottom of a driven seat and on the side surface of a detection assembly; a water pump can be started to enable a water pipe connected with an external water storage mechanism to convey water flow into the nozzles, high-speed water flow is flushed to the advancing direction of the driven seat through the nozzles, sundries such as small-particle broken stones or crushed leaves can be flushed away towards the side face of the driven seat through the design, and meanwhile large-particle stones which cannot be flushed away can be flushed away. In addition, the semi-ring baffle plate is in contact with the detection assembly prior to the detection assembly, large-particle stones are pushed away towards two sides, and compared with a comparison file, the design effectively avoids the situation that road surface sundries make contact with the detection assembly, so that errors are generated in settlement detection, and even the detection assembly is damaged.

A windshield protective device having a notch for accommodating a radars, sensors, and RFID transponders, a protective top layer that is removable and prevents damage to the windshield protective device during transportation and installation, a clear tempered glass layer that provides strength and durability, an optical PET film that enhances the visibility and clarity of the windshield, a silicon adhesive layer that adheres the windshield protective device to the windshield without leaving any residue, and a protective backing that covers the adhesive layer until it is ready to be applied. The windshield protective device protects the windshield from scratches, cracks, chips, and other damages caused by road debris, weather conditions, or vandalism.

The invention provides a road remnant identification method and device, electronic equipment and a storage medium, and belongs to the technical field of signal processing, and the method comprises the steps: obtaining original vibration signals corresponding to a plurality of grating measurement points in a grating array vibration sensing optical cable disposed on a road; determining first energy of each grating measuring point in a first time window based on the original vibration signal corresponding to each grating measuring point; determining the occurrence time of a remnant event in the first time window based on the first energy of each grating measuring point; second energy of each grating measuring point in a second time window is determined, and the occurrence time is in the second time window; and determining the position of the remnant on the road based on the second energy. The position of the remnant is determined according to the energy distribution of the plurality of grating measuring points of the precise time window, so that the possibility of false report and missing report is reduced, and the accuracy and efficiency of remnant identification are improved.

This application discloses a method, apparatus, storage medium, and electronic device for determining road debris. The method includes: acquiring a real-time video stream of a target road surface; performing inference and recognition on the real-time video stream using a small model to obtain a recognition result; extracting a set of video frames containing suspicious targets from the real-time video stream based on the recognition result; synchronizing the video frame set to a large model for review processing; and determining the presence information of road debris on the target road surface based on the review result. This application solves the problem that small models with high real-time performance may have a high false alarm rate due to limitations in feature extraction when detecting road debris, while large models with high accuracy can identify debris more precisely, but are difficult to implement in real-time due to high computational resource consumption. Therefore, this method improves the efficiency and accuracy of road debris detection, achieves real-time debris detection, timely warnings, and effectively reduces the risk of traffic accidents caused by road debris.

This invention provides a method, device, electronic device, and storage medium for identifying road debris, belonging to the field of signal processing technology. The method includes: acquiring the original vibration signals corresponding to multiple grating measuring points in a grating array vibration sensing optical cable deployed on the road; determining a first energy for each grating measuring point within a first time window based on the original vibration signal; determining the occurrence time of a debris event within the first time window based on the first energy of each grating measuring point; determining a second energy for each grating measuring point within a second time window, wherein the occurrence time falls within the second time window; and determining the location of the debris on the road based on the second energy. Because the location of the debris is determined based on the energy distribution of multiple grating measuring points within a precise time window, the possibility of false alarms and missed alarms is reduced, improving the accuracy and efficiency of debris identification.

Embodiments relate to autonomous and semi-autonomous systems and hazard detection in applications. The converter may use the sampled images and LiDAR features to extract and decode a representation of the presence of a hazard, the shape of the hazard, and / or the class thereof at a 3D location corresponding to each initial converter query. These detections may be provided to one or more control components of an autonomous vehicle that may use these detections to navigate, plan, or otherwise perform one or more operations (e.g., obstacle avoidance, lane keeping, lane changing, merging, lane splitting, etc. Some embodiments employ an automated approach to derive truth-valued data from sensor data collected by a data collection vehicle, such as data representing detected static scene points, navigable spatial boundaries, or detected hazardous objects. Thus, dangers such as road debris and other obstacles may be detected, and truth data may be generated for various sensing tasks.

The invention relates to a pavement garbage recognition method based on image anomaly detection. The recognition method comprises the following steps: 1) constructing and training a teacher network; training the pre-training data from the beginning through a model with a relatively large parameter quantity and relatively good performance or training the pre-training data by using an existing open source scheme, constructing a teacher network, and training the teacher network through the training data to form teacher network training data; 2) constructing and training a student network, training the student network on a data set which needs to be detected in teacher network training data and only contains a normal sample, training the student network on collected road surface data which needs to be detected, and enabling a training target to be used for reducing the difference between feature output of the student network and feature output of a pre-trained teacher network, counting an abnormal score according to the output difference; according to the method, labeling of target garbage samples is not needed, normal road surface samples are easier to collect, and huge workload is saved.

This invention relates to the fields of intelligent transportation and drone inspection technology, and provides a method and system for highway safety assessment based on drone inspection. The method includes the following steps: acquiring first-view data segments and second-view data segments of a preset road section; registering the first-view data segments with the second-view data segments to obtain a traffic flow map; extracting dynamic features of vehicle surface damage and static distribution features of road debris from the traffic flow map to obtain risk metadata including damage evolution trajectories and spatial coordinates of debris; predicting the structural stability attenuation coefficient of vehicles based on the damage evolution trajectory, and predicting the kinetic potential factor triggering secondary events based on the spatial coordinates of debris, to obtain a dynamic risk assessment result. This invention achieves a quantitative assessment of the dynamic deterioration trend of vehicle damage and the risk of road debris, significantly improving the intelligence level of highway inspection and the ability to prevent secondary accidents.

This invention relates to the field of intelligent transportation technology and discloses a method and apparatus for detecting road debris. One method includes: automatically selecting an infrared light wavelength based on ambient light intensity and calculating an environmental compensation coefficient; an infrared emitting unit emitting a multi-angle beam to an infrared receiving unit on the opposite side, with the receiving unit determining the beam's reception status; constructing a fan-shaped infrared beam grid to determine the area of ​​suspected targets; determining whether the suspected target is debris, and using an area positioning model to obtain the center position and effective area of ​​the debris; and implementing tiered alarms. This invention replaces visible light image recognition with infrared beam technology, and through an adaptive wavelength selection mechanism, effectively overcomes the impact of adverse weather conditions on detection accuracy. Combined with a lane recognition mechanism, it can accurately determine the specific lane where the debris is located, providing precise guidance for traffic control and cleanup operations.

The application discloses a road litter identification method, device and equipment, and is applied to the technical field of identification, and comprises the following steps: acquiring a first group of scene pictures and a second group of scene pictures of a preset road scene, wherein the first group of scene pictures and the second group of scene pictures both comprise a first scene picture, and the shooting time of the first scene picture is earlier than that of other scene pictures in the first group of scene pictures and the second group of scene pictures; processing the first group of scene pictures and the second group of scene pictures by a pre-trained litter identification model to obtain a first identification result picture and a second identification result picture representing picture changes; and determining whether there is litter in the preset road scene based on the position relationship between the change area in the first identification result picture and the change area in the second identification result picture. The application solves the technical problem of incorrect detection of litter.

An apparatus for housing battery cells arranged in a cluster, the enclosure having a wall formed of a low-cost monolithic extrusion formed of a thermoplastic and defining a plurality of elongate parallel hollows extending across the enclosure. The extrusion can include a metal sheet fastened to one side to provide an out downward-facing barrier against heat and road debris.

The invention relates to the technical field of road surface foreign matter collection, in particular to a vehicle-mounted expressway road surface foreign matter collector which is installed in front of a truck and comprises a collecting hopper, a first oil cylinder, a control assembly, a scraper knife and the like. The cross section of the collecting hopper is trapezoidal, a framework of the collecting hopper is formed by welding section steel pipes, and the surface covering part is composed of thin steel plates and engineering plastics. The first oil cylinder controls the collecting hopper to get close to or away from the pavement. The control assembly is specially used for controlling lifting and lowering of the scraper knife. The scraper knife is of a double-hinge multi-step-layer combined structure and mainly comprises two hinges, an upper scraper knife body and a multi-step-layer lower scraper knife body. The scraper knife is installed at the front end of the collecting hopper through a first hinge. Therefore, the scraper knife is controlled by the control assembly while moving along with the collecting hopper. When fluctuating or small obstacles exist on the road surface, the lower scraper knife rotates around the second hinge shaft and is always kept to be attached to the road surface, the lower scraper knife can achieve self-adaptive obstacle crossing, and manual obstacle crossing can also be achieved through the control assembly. The device has the advantages of light structure and low use cost.

1. The name of the design product: soil scraping plate. 2. The use of the design product: the soil scraping plate is used for fixing on the agricultural equipment such as tractor, and the soil scraping plate is driven by the equipment to work conveniently for scraping soil and cleaning road debris. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

This invention discloses an integrated method for intelligent edge sweeping and road surface cleanliness determination, relating to the fields of 3D vision, feature matching, neural networks, and target recognition. The method includes the following steps: Step 1: Acquiring road surface information in front of and behind the sweeping vehicle using its front and rear cameras respectively; Step 2: Processing the video frames acquired by the front camera using visual odometry; Step 3: Extracting the road edge based on the visual odometry results, obtaining the sweeping area and the distance from the sweeper to the road edge; Step 4: Processing the images acquired by the rear camera using a target detection algorithm; Step 5: Scoring the road surface cleanliness using a road surface cleanliness scoring algorithm based on the road debris detection results. This method not only achieves the extraction of the sweeping area but also the perception of the distance from the sweeper to the road edge, enabling effective scoring of road surface cleanliness in various complex scenarios.

1. Name of the product in this design: Unmanned Sweeper (PS). 2. Purpose of this design: For cleaning up road debris. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The application belongs to the technical field of intelligent transportation systems, and discloses a road litter detection method, system and device suitable for low-computing-power edge equipment. The video sampling frame is scaled and then input into the detection model, and the two-dimensional boundary box and the category confidence of the suspected road litter are output. The detection model is obtained by embedding an ECA module at the output end of the depth separable convolution module of YOLO Nano. The two-dimensional boundary box is screened, and only the target box with the center point in the preset ROI region and the category confidence greater than the set threshold is reserved as the effective target box. The IoU of the effective target box in different sampling frames is calculated. If the IoU is continuously greater than the set threshold and the maintenance time exceeds the time threshold, it is determined that the target is a static road litter. The key frame of the video is intercepted and labeled, and is sent to the cloud server. The application effectively improves the feature perception ability of small and micro road litter and reduces the small target missing detection rate without increasing the computing power overhead of the edge equipment.

1. Name of the product in this design: Sweeping robot (S3). 2. Purpose of this design: For cleaning up road debris. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

A road debris detection system includes a data processor in wireless communication with a base facility, the base facility including a plurality of aerial response vehicles adapted to be deployed from the base facility, each of the plurality of aerial response vehicles being specialized to perform specific tasks, the data processor adapted to receive data related to a roadway, assess if debris is present within the roadway, and when debris is present within the roadway assess the nature of the detected debris, select an aerial response vehicle from the plurality of aerial response vehicles at the base facility that is specialized to remove / move the detected debris and is capable based on the type, size and weight of the detected debris, and deploy the selected aerial response vehicle to clean-up the debris.

The utility model discloses an automobile refitted suspension device, and relates to the technical field of suspension. The shock absorber comprises a shock absorber body, the shock absorber body comprises a spring base and a spring upper seat, the spring base is located below the spring upper seat, a protective cover is arranged outside the shock absorber body, and a first cleaning mechanism and a second cleaning mechanism are arranged outside the protective cover. The protective cover comprises a fixed cover body, a first movable cover body and a second movable cover body, the fixed cover body, the first movable cover body and the second movable cover body are all split into two halves, the fixed cover body is located above the first movable cover body, and the first movable cover body is in sliding connection with the fixed cover body; the dustproof cover is arranged to protect the shock absorber main body, so that the shock absorber main body is prevented from being directly impacted by sundries such as gravels, silt and the like on a road surface, the dustproof cover is punctured, the protection function is invalid, dust and silt enter the piston rod, and the shock absorption effect and the service life are not influenced.

The invention discloses a road surface crushed aggregate sweeping device and a control method, accurate control over pneumatic nozzles is achieved, the road surface crushed aggregate sweeping device specifically comprises a movable vehicle body support, a movable platform, a pneumatic sweeping device and a control system, the movable platform is fixedly installed on the movable vehicle body support, and the movable platform is a three-axis movable platform; the pneumatic sweeping device is fixed to the three-axis moving platform, the control system is installed on the moving vehicle body support and used for controlling the moving platform and the pneumatic sweeping device, the pneumatic sweeping device is used for accurately blowing crushed aggregates in a working area at any angle, meanwhile, the sweeping device can be replaced to achieve a multi-airflow sweeping test, and the test efficiency is improved. And the size of the blown airflow can be adjusted in real time, so that the energy consumption in the pneumatic cleaning process can be reduced while the working efficiency of pneumatic cleaning is improved, and the high intelligence of the pneumatic cleaning process is realized.