Real-time DSP implementation of Pedestrian Detection algorithm using HOG features

Chavan, Akshay; Yogamani, Senthil

doi:10.1109/itst.2012.6425196

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…SOCs: Although autonomous driving prototypes are shown on large PCs, they have to be deployed on low-power and low-cost embedded systems. In spite of rapid growth of computational power of automotive embedded systems, it is still quite challenging to deploy computer vision algorithms [1] [6]. Figure 3 shows a typical automotive embedded system called Electronic Control Unit (ECU) on the top left region.…”

Section: A Platform Overviewmentioning

confidence: 99%

Trained Trajectory based Automated Parking System using Visual SLAM on Surround View Cameras

Tripathi,

Yogamani

2020

Preprint

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Automated Parking is becoming a standard feature in modern vehicles. Existing parking systems build a local map to be able to plan for maneuvering towards a detected slot. Next generation parking systems have an use case where they build a persistent map of the environment where the car is frequently parked, say for example, home parking or office parking. The pre-built map helps in re-localizing the vehicle better when its trying to park the next time. This is achieved by augmenting the parking system with a Visual SLAM pipeline and the feature is called trained trajectory parking. In this paper, we discuss the use cases, design and implementation of a trained trajectory automated parking system. To encourage further research, we release a dataset of 50 video sequences comprising of over 100,000 images with the associated ground truth as a companion to our WoodScape dataset [18]. To the best of the authors' knowledge, this is the first public dataset for trained trajectory parking system scenarios.

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Section: A Platform Overviewmentioning

confidence: 99%

Trained Trajectory based Automated Parking System using Visual SLAM on Surround View Cameras

Tripathi,

Yogamani

2020

Preprint

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“…Graphics processing units (GPUs) have been proposed in a number of automotive image processing applications [64,65]. They are well suited for processing large amounts of data quickly, and can be reconfigured through software updates.…”

Section: Hardware Implementationsmentioning

confidence: 99%

Review of pedestrian detection techniques in automotive far‐infrared video

Hurney

Waldron

Morgan

et al. 2015

IET Intelligent Transport Systems

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“…CNNs have enabled a large increase in accuracy of object detection leading to better perception for automated driving [ 54 ]. It has also enabled dense pixel classification via semantic segmentation which was not feasible before [ 55 , 56 ]. Additionally there is a strong trend of CNNs achieving state-of-the-art results for geometric vision algorithms such as optical flow [ 57 ], moving object detection [ 58 ], structure from motion [ 59 ], re-localisation [ 60 ], soiling detection [ 61 ] and joint multi-task models [ 62 ].…”

Section: Introductionmentioning

confidence: 99%

Overview and Empirical Analysis of ISP Parameter Tuning for Visual Perception in Autonomous Driving

et al. 2019

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Image quality is a well understood concept for human viewing applications, particularly in the multimedia space, but increasingly in an automotive context as well. The rise in prominence of autonomous driving and computer vision brings to the fore research in the area of the impact of image quality in camera perception for tasks such as recognition, localization and reconstruction. While the definition of “image quality” for computer vision may be ill-defined, what is clear is that the configuration of the image signal processing pipeline is the key factor in controlling the image quality for computer vision. This paper is partly review and partly positional with demonstration of several preliminary results promising for future research. As such, we give an overview of what is an

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Real-time DSP implementation of Pedestrian Detection algorithm using HOG features

Cited by 10 publications

References 13 publications

Trained Trajectory based Automated Parking System using Visual SLAM on Surround View Cameras

Trained Trajectory based Automated Parking System using Visual SLAM on Surround View Cameras

Review of pedestrian detection techniques in automotive far‐infrared video

Overview and Empirical Analysis of ISP Parameter Tuning for Visual Perception in Autonomous Driving

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