Search Results for author: Ekim Yurtsever

Found 15 papers, 9 papers with code

A Survey on Autonomous Driving Datasets: Data Statistic, Annotation, and Outlook

1 code implementation2 Jan 2024 MingYu Liu, Ekim Yurtsever, Xingcheng Zhou, Jonathan Fossaert, Yuning Cui, Bare Luka Zagar, Alois C. Knoll

Autonomous driving has rapidly developed and shown promising performance with recent advances in hardware and deep learning methods.

Autonomous Driving

Vision Language Models in Autonomous Driving and Intelligent Transportation Systems

1 code implementation22 Oct 2023 Xingcheng Zhou, MingYu Liu, Bare Luka Zagar, Ekim Yurtsever, Alois C. Knoll

The applications of Vision-Language Models (VLMs) in the fields of Autonomous Driving (AD) and Intelligent Transportation Systems (ITS) have attracted widespread attention due to their outstanding performance and the ability to leverage Large Language Models (LLMs).

Autonomous Driving

3D Understanding of Deformable Linear Objects: Datasets and Transferability Benchmark

no code implementations13 Oct 2023 Bare Luka Žagar, Tim Hertel, MingYu Liu, Ekim Yurtsever, Alois C. Knoll

Finally, we analyzed the generalization capabilities of these methods by conducting transferability experiments on the PointWire and PointVessel datasets.

Object

Using Collision Momentum in Deep Reinforcement Learning Based Adversarial Pedestrian Modeling

no code implementations13 Jun 2023 Dianwei Chen, Ekim Yurtsever, Keith Redmill, Umit Ozguner

Recent research in pedestrian simulation often aims to develop realistic behaviors in various situations, but it is challenging for existing algorithms to generate behaviors that identify weaknesses in automated vehicles' performance in extreme and unlikely scenarios and edge cases.

Autonomous Driving reinforcement-learning

3D Object Detection with a Self-supervised Lidar Scene Flow Backbone

1 code implementation2 May 2022 Ekim Yurtsever, Emeç Erçelik, MingYu Liu, Zhijie Yang, Hanzhen Zhang, Pınar Topçam, Maximilian Listl, Yılmaz Kaan Çaylı, Alois Knoll

Our main contribution leverages learned flow and motion representations and combines a self-supervised backbone with a supervised 3D detection head.

3D Object Detection Object +3

Formal Certification Methods for Automated Vehicle Safety Assessment

no code implementations6 Feb 2022 Tong Zhao, Ekim Yurtsever, Joel Paulson, Giorgio Rizzoni

In this work, we provide both an overview of the safety verification, validation and certification process, as well as review formal safety techniques that are best suited to AV applications.

Autonomous Driving

Pedestrian Emergence Estimation and Occlusion-Aware Risk Assessment for Urban Autonomous Driving

no code implementations6 Jul 2021 Mert Koc, Ekim Yurtsever, Keith Redmill, Umit Ozguner

Here, we propose a pedestrian emergence estimation and occlusion-aware risk assessment system for urban autonomous driving.

Autonomous Driving

Temp-Frustum Net: 3D Object Detection with Temporal Fusion

1 code implementation25 Apr 2021 Emeç Erçelik, Ekim Yurtsever, Alois Knoll

Furthermore, ablation studies reinforce that the subject of improvement is temporal fusion and show the effects of different placements of TFM in the object detection pipeline.

3D Object Detection Object +2

Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio-Temporal Attention

3 code implementations12 Apr 2021 Dongfang Yang, Haolin Zhang, Ekim Yurtsever, Keith Redmill, Ümit Özgüner

This work addresses the above limitations by introducing a novel neural network architecture to fuse inherently different spatio-temporal features for pedestrian crossing intention prediction.

Semantic Segmentation

Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion

1 code implementation3 Nov 2020 Haolin Zhang, Dongfang Yang, Ekim Yurtsever, Keith A. Redmill, Ümit Özgüner

The main strategy is to depend solely on the 2D vision for recognizing object class, as object shape does not change drastically with an increase in depth, and use pointcloud data for object localization in the 3D space for faraway objects.

3D Object Detection Object +2

Photorealism in Driving Simulations: Blending Generative Adversarial Image Synthesis with Rendering

no code implementations31 Jul 2020 Ekim Yurtsever, Dongfang Yang, Ibrahim Mert Koc, Keith A. Redmill

Given a 3D scene, we partially render only important objects of interest, such as vehicles, and use generative adversarial processes to synthesize the background and the rest of the image.

Generative Adversarial Network Image Generation

A Vision-based Social Distancing and Critical Density Detection System for COVID-19

1 code implementation7 Jul 2020 Dongfang Yang, Ekim Yurtsever, Vishnu Renganathan, Keith A. Redmill, Ümit Özgüner

If a violation is detected, a non-intrusive audio-visual warning signal is emitted without targeting the individual who breached the social distancing measure.

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

no code implementations12 Jun 2019 Ekim Yurtsever, Jacob Lambert, Alexander Carballo, Kazuya Takeda

Automated driving systems (ADSs) promise a safe, comfortable and efficient driving experience.

Robotics Systems and Control Systems and Control

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