[Product_Table id=’2077′ name=’AI Business Cases Product’]
| Parent Category | Category | Product Title | Product Description | Source | Quality | Demo video | Company image | Pricing | Quality criteria | NeuroMarket | Quality criteria | Cost forecast | |||||||||||||||||
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| Automotive | Autopilot / ADAS | Collision Avoidance | A collision avoidance system (CAS), also known as a pre-crash system, forward-collision warning system, or collision mitigation system, is an advanced driver-assistance system designed to prevent or reduce the severity of a collision. In its basic form, a forward-collision warning system monitors a vehicle's speed, the speed of the vehicle in front of it, and the distance between the vehicles, so that it can provide a warning to the driver if the vehicles get too close, potentially helping to avoid a crash. Various technologies and sensors that are used include radar (all-weather) and sometimes laser (LIDAR) and cameras (employing image recognition) to detect an imminent crash. GPS sensors can detect fixed dangers such as approaching stop signs through a location database. Pedestrian detection can also be a feature of these types of systems.
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| Automotive | Autopilot / ADAS | Simultaneous Localization and Mapping (SLAM) | Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. While this initially appears to be a chicken-and-egg problem there are several algorithms known for solving it, at least approximately, in tractable time for certain environments. Popular approximate solution methods include the particle filter, extended Kalman filter, covariance intersection, and GraphSLAM. SLAM algorithms are based on concepts in computational geometry and computer vision, and are used in robot navigation, robotic mapping and odometry for virtual reality or augmented reality. Open Source: https://github.com/tzutalin/awesome-visual-slam | ||||||||||||||||||||||||||
| Automotive | Autopilot / ADAS | Road Sign Information | Traffic-sign recognition (TSR) is a technology by which a vehicle is able to recognize the traffic signs put on the road e.g. "speed limit" or "children" or "turn ahead". This is part of the features collectively called ADAS. The technology is being developed by a variety of automotive suppliers. It uses image processing techniques to detect traffic signs. The detection methods can be generally divided into color-based, shape-based, and learning-based methods. Open Source: https://github.com/fredotran/traffic-sign-detector-yolov4 accuracy mAp @0.5 of 95.13% (it took ~ 2000 iterations) on classification and detection of the 4 different traffic road signs classes | ||||||||||||||||||||||||||
| Automotive | Autopilot / ADAS | Automatic Parking / Parking Assistance | Automatic parking is an autonomous car-maneuvering system that moves a vehicle from a traffic lane into a parking spot to perform parallel, perpendicular, or angle parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking maneuver is achieved by means of coordinated control of the steering angle and speed which takes into account the actual situation in the environment to ensure collision-free motion within the available space Open Source Solution: https://github.com/Gireeshsuresh/Autonomous-Parking-System |  | Test Open Source Quality |  | $100 | Test Paid Quality | http://NeuroMarketProduct.com | NM QC | 700 | ||||||||||||||||||
| Automotive | Autopilot / ADAS | Lane departure warning system | In road-transport terminology, a lane departure warning system (LDWS) is a mechanism designed to warn the driver when the vehicle begins to move out of its lane (unless a turn signal is on in that direction) on freeways and arterial roads. These systems are designed to minimize accidents by addressing the main causes of collisions: driver error, distractions and drowsiness. In 2009 the U.S. National Highway Traffic Safety Administration (NHTSA) began studying whether to mandate lane departure warning systems and frontal collision warning systems on automobiles Open Source: https://github.com/JunshengFu/driving-lane-departure-warning https://www.youtube.com/watch?v=fqQFVK4ZxoQ | ||||||||||||||||||||||||||
| Automotive | Autopilot / ADAS | Adaptive Cruise Control / Lane Assistance | Adaptive cruise control (ACC) is an available cruise control advanced driver-assistance system for road vehicles that automatically adjusts the vehicle speed to maintain a safe distance from vehicles ahead. As of 2019, it is also called by 20 unique names that describe that basic functionality. This is also known as Dynamic cruise control. For all details check GitHub Repository here: https://github.com/commaai/openpilot Demo Video: https://www.youtube.com/watch?v=NmBfgOanCyk |  | https://www.youtube.com/watch?v=NmBfgOanCyk | $2,199 - $2,799 | |||||||||||||||||||||||
| Automotive | Autopilot / ADAS | Autopilot |