Artificial intelligence in vision based approaches have proven to be effective various phases of intelligent vehicle system (IVS). An IVS has intelligently take many critical decisions heterogeneous environment. Speed bump detection is one such issue real world due its varying appearance dynamic scene. The major the scaling objects from far distance and often viewed as small entity. In proposed article, deep learning computer speed model proposed, which assist control driving behavior an...

Abstract Advancement in vision‐based techniques has enabled the autonomous vehicle system (AVS) to understand driving scene depth. The capability of scene, and detecting specific object depends on strong feature representation such objects. However, pothole objects are difficult identify due their non‐uniform structure challenging, dynamic road environments. Existing approaches have shown limited performance for precise detection potholes. study potholes, intelligent behaviour is little...

Lane detection on the road is most essential phase of existing advanced driver assistance systems (ADAS). In current scheme, lanes are parallel tracks which marked based different speed limit for vehicles. markings defined as driving regions vehicles in order to avoid a collision. an Intelligent Vehicle System (IVS), these being identified by various massive computing techniques and sensor-based mechanisms like radar, LiDAR, GPS have high operational costs. However, vision-based methods...

The recent advancement in artificial intelligence approach or deep learning techniques explored the ways to facilitate automation various sectors. application of with computer vision field has resulted realization intelligent systems. Vehicle detection plays a key role Intelligent System and Transport as it assists critical components these systems like road scene classification, detecting obstacle vehicles find an unhindered pathway, even preventing accidents. This paper presents...

“Road detection is said to be a major research area in remote sensing analysis and it usually complex due the data complexities as gets varied appearance with minor inter-class huge intra-class variations that often cause errors gaps extraction of road”. Moreover, majority supervised learning techniques endure from high price manual annotation or inadequate training data. Thereby, this paper intends introduce new model for road detection. This work exploits siamesed fully convolutional...

Detection of speed bumps is a challenging issue in autonomous ve-hicle systems due to their appearance dynamic environments. The unmarked bump not an apparent entity even the daytime, thus carries difficulty precisely detect for vision-based driving assistance system (DAS). In some cases, DAS may misinterpret marked and zebra crossing pattern, which can further weaken recognition performance risk human safety. this letter, convolutional neural network model using region proposal nonmaximum...

One of the most difficult challenges in field computer vision is human activity recognition (HAR). The main purpose intelligent video system to determine actions and activities individual. This action monitoring can be used a variety settings, which include human-computer interaction, tracking, security, health monitoring. Detecting an uncircumscribed territory remains challenging task with multiple challenges, despite ongoing efforts this area. Throughout article, some recent research...

Traffic obstruction is one of the major problems faced by most metropolises in dynamic road scene. Most roads various cities (especially India) are poorly designed and lack separate footpaths many reasons for traffic congestion. lights deployed at intersections inefficient, causing issues including waiting time vehicles energy wastage. In proposed approach, a learning model using deep reinforcement technique to solve issue managing light cycle has been focused. The collect data from through...

Contrast improvement are being aided by the universal data content of an input image enlarging dynamic variety intensity levels, utilized Conversion functions. Certain conversion functions utilize local substantial for modifying details, such as quality & boundaries. In this paper, effective method improving contrast, is introduced, in which a plotting utility, blend and functions, preserves fine facts addition. widening Image preserved completely function. The instinctive procedure...

The density of current road traffic frequently producing circumstances that endanger the protection individuals. For safety individual, one has to keep safe distance from an upcoming vehicle in a busy road. In intelligent system, selection sensors, orientation and velocity persons other moving objects are significant for logical decisions given scenario. These acquired information can be deployed offer Driver Assistance System (DAS) future vehicle. proposed work, vision-based sensors castoff...

Technology development has altered how people live. Intelligent vehicles are being developed as a result of technological advancements in the automobile industry. Pedestrians most vulnerable road users, accounting for more than half all traffic fatalities. Thus, key thing to take into account is pedestrian detection. In order safeguard both drivers and pedestrians, an intelligent vehicle system can detect pedestrians front moving either loudly warn driver risk or automatically slow down...

Movement Planning, as a principal innovation of programmed routes for Autonomous vehicles, is yet an open testing issue, all things considered, traffic circumstances and generally applied by the model-based methodologies. Nonetheless, because multifaceted nature vulnerability edge cases, it difficult to devise overall movement arranging framework vehicles. Spurred this expanded fame, we give Deep-learning based ways deal with vehicle motion prediction practically 80% Accuracy in paper. The...

Satellite Images are used nowadays in multiple applications. Generally these very noisy and blurry. This paper presents comparison of different techniques for contrast enrichment on the basis their PSNR values. In method proposed by us, removal noise blur instinctive procedure suggested pre-processing it also lowers consequence noise. Contrast improvement is being aided universal data content an image enlarging dynamic variety intensity levels, utilized Conversion functions. Fuzzy based...

Autonomous parking capability is one of the major applications autonomous vehicles in automobile industry. The standard vehicle requires acceleration, braking, and steering control to park into particular space. However, a small amount driving error any mentioned towards may produce hazardous situations lead road accidents. Apart from scenario, parallel reverse are too risky application areas which controlling computation has be very specific. For demanding market vehicles, this pin-point...

This Satellite Images are used nowadays in multiple applications like astronomy, weather forecasting, Space Sciences and earth other planet observation. Generally very noisy blurry. In this paper we presenting different techniques for satellite image enhancement. For removal of noise blur instinctive procedure suggested that pre-processes poorly concentrated or degraded images by composing numerous consecutive autonomous processing phases which overturn noise, enrich contrast & upturn the...