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A Study on Recent Developments and Issues with Obstacle Detection Systems for Automated Vehicles
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Localizing Ground Penetrating RADAR: A Step Toward Robust Autonomous Ground Vehicle Localization
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A Likelihood-Based Data Fusion Model for the Integration of Multiple Sensor Data: A Case Study with Vision and Lidar Sensors
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Introducing Automated Obstacle Detection to British Level Crossings
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Organization and Operation of Electronically Coupled Truck Platoons on German Motorways
inferredcites →https://doi.org/10.1007/s001380050126openalex-snapshot
Real-time multiple vehicle detection and tracking from a moving vehicle
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Can Beijing fight with haze? Lessons can be learned from London and Los Angeles
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Artificial neural networks in real-time car detection and tracking applications
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Smart Cities and Urban Networks
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Brake lamp detection in complex and dynamic environments: Recognizing limitations of visual attention and perception
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Autonomous vehicles’ disengagements: Trends, triggers, and regulatory limitations
inferredcites →https://doi.org/10.1016/j.aap.2017.12.001openalex-snapshot
Real life safety benefits of increasing brake deceleration in car-to-pedestrian accidents: Simulation of Vacuum Emergency Braking
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Pothole detection in asphalt pavement images
inferredcites →https://doi.org/10.1016/j.aeue.2013.02.001openalex-snapshot
Efficient method of moving shadow detection and vehicle classification
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Perception, information processing and modeling: Critical stages for autonomous driving applications
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Stereo-camera-based object detection using fuzzy color histograms and a fuzzy classifier with depth and shape estimations
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The new approach of evaluating differential signal of airborne FMCW radar-altimeter
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LIDAR obstacle warning and avoidance system for unmanned aerial vehicle sense-and-avoid
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On-road remote sensing measurements and fuel-based motor vehicle emission inventory in Hangzhou, China
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Road vehicle emission factors development: A review
inferredcites →https://doi.org/10.1016/j.autcon.2017.08.017openalex-snapshot
Pothole detection on asphalt pavements from 2D-colour pothole images using fuzzy c -means clustering and morphological reconstruction
inferredcites →https://doi.org/10.1016/j.compeleceng.2013.03.020openalex-snapshot
A vision-based blind spot warning system for daytime and nighttime driver assistance
inferredcites →https://doi.org/10.1016/j.cviu.2013.04.005openalex-snapshot
50 Years of object recognition: Directions forward
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Segmentation based building detection approach from LiDAR point cloud
inferredcites →https://doi.org/10.1016/j.eng.2016.02.010openalex-snapshot
Autonomous Driving in the iCity—HD Maps as a Key Challenge of the Automotive Industry
inferredcites →https://doi.org/10.1016/j.eswa.2014.12.037openalex-snapshot
Robust real-time traffic light detection and distance estimation using a single camera
inferredcites →https://doi.org/10.1016/j.eswa.2015.04.035openalex-snapshot
Rear obstacle detection system with fisheye stereo camera using HCT
inferredcites →https://doi.org/10.1016/j.eswa.2018.07.020openalex-snapshot
Pedestrian detection based on faster R-CNN in nighttime by fusing deep convolutional features of successive images
inferredcites →https://doi.org/10.1016/j.iatssr.2018.05.001openalex-snapshot
Autonomous vehicle self-localization based on abstract map and multi-channel LiDAR in urban area
inferredcites →https://doi.org/10.1016/j.ijleo.2016.05.092openalex-snapshot
Real-time vehicle detection using histograms of oriented gradients and AdaBoost classification
inferredcites →https://doi.org/10.1016/j.ijleo.2017.01.058openalex-snapshot
A blind spot detection and warning system based on millimeter wave radar for driver assistance
inferredcites →https://doi.org/10.1016/j.image.2017.02.007openalex-snapshot
Robust object proposals re-ranking for object detection in autonomous driving using convolutional neural networks
inferredcites →https://doi.org/10.1016/j.imavis.2017.07.003openalex-snapshot
3D visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle detection
inferredcites →https://doi.org/10.1016/j.imavis.2017.09.008openalex-snapshot
Vehicle detection in intelligent transportation systems and its applications under varying environments: A review
inferredcites →https://doi.org/10.1016/j.ins.2017.08.035openalex-snapshot
Multi-task learning for dangerous object detection in autonomous driving
inferredcites →https://doi.org/10.1016/j.jvcir.2016.01.015openalex-snapshot
Automatic license plate detection in hazardous condition
inferredcites →https://doi.org/10.1016/j.jvcir.2017.03.015openalex-snapshot
Combining passive visual cameras and active IMU sensors for persistent pedestrian tracking
inferredcites →https://doi.org/10.1016/j.jvcir.2018.02.001openalex-snapshot
Multiple-target tracking on mixed images with reflections and occlusions
inferredcites →https://doi.org/10.1016/j.measurement.2016.10.009openalex-snapshot
Quantifying the influence of rain in LiDAR performance
inferredcites →https://doi.org/10.1016/j.measurement.2017.01.053openalex-snapshot
A hybrid fusion algorithm for GPS/INS integration during GPS outages
inferredcites →https://doi.org/10.1016/j.oceaneng.2018.04.018openalex-snapshot
Developing a navigation, guidance and obstacle avoidance algorithm for an Unmanned Surface Vehicle (USV) by algorithms fusion
inferredcites →https://doi.org/10.1016/j.optlaseng.2015.09.003openalex-snapshot
Fusion of 3D laser scanner and depth images for obstacle recognition in mobile applications
inferredcites →https://doi.org/10.1016/j.patrec.2017.09.038openalex-snapshot
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data
inferredcites →https://doi.org/10.1016/j.pmcj.2014.06.005openalex-snapshot
Volvo intelligent news: A context aware multi modal proactive recommender system for in-vehicle use
inferredcites →https://doi.org/10.1016/j.procs.2017.11.184openalex-snapshot
Use of video data for analysis of special transport movement
inferredcites →https://doi.org/10.1016/j.robot.2015.07.001openalex-snapshot
A novel method for computation of importance weights in Monte Carlo localization on line segment-based maps
inferredcites →https://doi.org/10.1016/j.robot.2016.03.004openalex-snapshot
Stereo visual odometry in urban environments based on detecting ground features
inferredcites →https://doi.org/10.1016/j.robot.2016.11.014openalex-snapshot
Pedestrian recognition and tracking using 3D LiDAR for autonomous vehicle
inferredcites →https://doi.org/10.1016/j.sbspro.2013.11.124openalex-snapshot
Method for Automated Assessment of Potholes, Cracks and Patches from Road Surface Video Clips
inferredcites →https://doi.org/10.1016/j.sysarc.2017.02.005openalex-snapshot
Automotive Architecture Framework: The experience of Volvo Cars
inferredcites →https://doi.org/10.1016/j.tra.2015.04.003openalex-snapshot
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
inferredcites →https://doi.org/10.1016/j.tra.2018.04.009openalex-snapshot
Autonomous vehicles, risk perceptions and insurance demand: An individual survey in China
inferredcites →https://doi.org/10.1016/j.trc.2018.02.012openalex-snapshot
Autonomous vehicle perception: The technology of today and tomorrow
inferredcites →https://doi.org/10.1016/j.trf.2016.06.020openalex-snapshot
Night-time and daytime operating speed distribution in urban arterials
inferredcites →https://doi.org/10.1016/j.trpro.2017.12.183openalex-snapshot
Obstacle Detection with Ultrasonic Sensors and Signal Analysis Metrics
inferredcites →https://doi.org/10.1016/j.vlsi.2017.07.007openalex-snapshot
Algorithm and hardware implementation for visual perception system in autonomous vehicle: A survey
inferredcites →https://doi.org/10.1016/s0924-2716(99)00015-5openalex-snapshot
Airborne laser scanning: basic relations and formulas
inferredcites →https://doi.org/10.1016/s1353-4858(15)30081-7openalex-snapshot
Cars of the future: the Internet of Things in the automotive industry
inferredcites →https://doi.org/10.1017/s0263574710000299openalex-snapshot
Far infrared pedestrian detection and tracking for night driving
inferredcites →https://doi.org/10.1109/ical.2008.4636684openalex-snapshot
Review on vehicle detection based on video for traffic surveillance
inferredcites →https://doi.org/10.1109/icra.2011.5980567openalex-snapshot
3D is here: Point Cloud Library (PCL)
inferredcites →https://doi.org/10.1109/icsens.2005.1597879openalex-snapshot
Intelligent Surround Sensing Using Fuzzy Inference System
inferredcites →https://doi.org/10.1109/iros.2015.7354095openalex-snapshot
Obstacle detection for self-driving cars using only monocular cameras and wheel odometry
inferredcites →https://doi.org/10.1109/itsc.2011.6082917openalex-snapshot
Illumination invariant road detection based on learning method
inferredcites →https://doi.org/10.1109/itsc.2017.8317880openalex-snapshot
DepthCN: Vehicle detection using 3D-LIDAR and ConvNet
inferredcites →https://doi.org/10.1109/ivcnz.2013.6727057openalex-snapshot
Day and night vehicle detection and counting in complex environment
inferredcites →https://doi.org/10.1109/ivs.2003.1212905openalex-snapshot
An obstacle detection system for automated trains
inferredcites →https://doi.org/10.1109/ivs.2012.6232228openalex-snapshot
A Joint Integrated Probabilistic Data Association Filter for pedestrian tracking across blind regions using monocular camera and radar
inferredcites →https://doi.org/10.1109/ivs.2017.7995954openalex-snapshot
Effects of exhaust gases on laser scanner data quality at low ambient temperatures
inferredcites →https://doi.org/10.1109/tpami.2006.104openalex-snapshot
On-road vehicle detection: a review
inferredcites →https://doi.org/10.1109/wcica.2008.4593753openalex-snapshot
Night-time Pedestrian Detection by Visual-Infrared Video Fusion
inferredcites →https://doi.org/10.19030/jbcs.v10i1.8324openalex-snapshot
The Google Car: Driving Toward A Better Future?
inferredcites →https://doi.org/10.25405/ncl.34349064openalex-snapshot
An Obstacle Detection System for Freight Yards
inferredcites →https://doi.org/10.3390/electronics7060084openalex-snapshot
LiDAR and Camera Detection Fusion in a Real-Time Industrial Multi-Sensor Collision Avoidance System
inferredcites →https://doi.org/10.3390/s16081268openalex-snapshot
Vertical Corner Feature Based Precise Vehicle Localization Using 3D LIDAR in Urban Area
inferredcites →https://doi.org/10.3390/su6085322openalex-snapshot
Tackling Air Pollution in China—What do We Learn from the Great Smog of 1950s in LONDON
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Automotive Radar and Lidar Systems for Next Generation Driver Assistance Functions
inferredcites →https://doi.org/10.5194/ars-9-49-2011openalex-snapshot
Influences of weather phenomena on automotive laser radar systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Real-Time Ranging of Vehicles and Pedestrians for Mobile Application on Smartphones
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Distributed Model Reference Control for Cooperative Tracking of Vehicle Platoons Subjected to External Disturbances and Bounded Leader Input
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Close Proximity Time-to-collision Prediction for Autonomous Robot Navigation: An Exponential GPR Approach
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An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles
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Fusion of Image and Point Cloud for Accurate Obstacle Detection in Autonomous Driving
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Internet of Things (IoT) about Disabilities
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Obstacle Detection by Applying Deep Learning for Assisting the Driver of Mobile Scooter
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ANALYSIS OF APPROACHES TO AUTONOMOUS VEHICLE CONTROL
inferred← citeshttps://doi.org/10.23919/fruct54823.2022.9770927openalex-snapshot
Depth and Image Fusion for Road Obstacle Detection Using Stereo Camera
inferred← citeshttps://doi.org/10.26730/1816-4528-2023-6-41-49openalex-snapshot
AN OPENCAST AUTOMOBILE ROAD MODEL PARAMETERS DETERMINING FOR TESTING AND TUNNING AUTOMATED ROBOTIC CHASSIS
inferred← citeshttps://doi.org/10.3389/ffutr.2026.1711068openalex-snapshot
Optimizing drivable area detection for autonomous vehicles through shadow and road edge line analysis in U-net-based models
inferred← citeshttps://doi.org/10.3390/app13095810openalex-snapshot
Comparison of CNN-Based Models for Pothole Detection in Real-World Adverse Conditions: Overview and Evaluation
inferred← citeshttps://doi.org/10.3390/app14062555openalex-snapshot
A Cloud-Based Ambulance Detection System Using YOLOv8 for Minimizing Ambulance Response Time
inferred← citeshttps://doi.org/10.3390/computation13060133openalex-snapshot
Advancing Object Detection in Transportation with Multimodal Large Language Models (MLLMs): A Comprehensive Review and Empirical Testing
inferred← citeshttps://doi.org/10.3390/drones6110361openalex-snapshot
Fast Obstacle Detection System for UAS Based on Complementary Use of Radar and Stereoscopic Camera
inferred← citeshttps://doi.org/10.3390/drones8110676openalex-snapshot
A Fast Obstacle Detection Algorithm Based on 3D LiDAR and Multiple Depth Cameras for Unmanned Ground Vehicles
inferred← citeshttps://doi.org/10.3390/electronics11213615openalex-snapshot
Review of Obstacle Detection Systems for Collision Avoidance of Autonomous Underwater Vehicles Tested in a Real Environment
inferred← citeshttps://doi.org/10.3390/fi15100322openalex-snapshot
Application of an Effective Hierarchical Deep-Learning-Based Object Detection Model Integrated with Image-Processing Techniques for Detecting Speed Limit Signs, Rockfalls, Potholes, and Car Crashes
inferred← citeshttps://doi.org/10.3390/rs14153824openalex-snapshot
Image-Based Obstacle Detection Methods for the Safe Navigation of Unmanned Vehicles: A Review
inferred← citeshttps://doi.org/10.3390/rs15041044openalex-snapshot
A Novel Method for Obstacle Detection in Front of Vehicles Based on the Local Spatial Features of Point Cloud
inferred← citeshttps://doi.org/10.3390/s21165397openalex-snapshot
An Overview of Autonomous Vehicles Sensors and Their Vulnerability to Weather Conditions
inferred← citeshttps://doi.org/10.3390/s22228878openalex-snapshot
Computer Vision Based Pothole Detection under Challenging Conditions
inferred← citeshttps://doi.org/10.3390/s23042262openalex-snapshot
Extracting Traffic Signage by Combining Point Clouds and Images
inferred← citeshttps://doi.org/10.3390/s23084167openalex-snapshot
A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection
inferred← citeshttps://doi.org/10.3390/s24030936openalex-snapshot
Enhanced Perception for Autonomous Vehicles at Obstructed Intersections: An Implementation of Vehicle to Infrastructure (V2I) Collaboration
inferred← citeshttps://doi.org/10.3390/su13031233openalex-snapshot
Navigation of Autonomous Light Vehicles Using an Optimal Trajectory Planning Algorithm
inferred← citeshttps://doi.org/10.3390/su16229893openalex-snapshot
Analyzing Autonomous Vehicle Collision Types to Support Sustainable Transportation Systems: A Machine Learning and Association Rules Approach
inferred← citeshttps://doi.org/10.36227/techrxiv.17256101openalex-snapshot
Development of TRINETRA : A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks
inferred← citeshttps://doi.org/10.36227/techrxiv.17256101.v1openalex-snapshot
Development of TRINETRA : A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks
inferred← citeshttps://doi.org/10.4271/2022-01-7092openalex-snapshot
Vision-Based Real-Time Obstacle Detection System for Trains
inferred← citeshttps://doi.org/10.4271/2025-01-0285openalex-snapshot
A Generalized Formulation for Safe Obstacle Avoidance Maneuvers in Autonomous Vehicles
inferred← citeshttps://doi.org/10.54097/9kkza965openalex-snapshot
Vision-based Target Tracking Technology in Autonomous Vehicles
inferred← citeshttps://doi.org/10.54097/t1qdmp05openalex-snapshot
Intelligent Vehicle Target Detection based on ARM Processor and Microcontroller
inferred← citeshttps://doi.org/10.57197/jdr-2024-0012openalex-snapshot
A Review on Internet of Things (IoT)-Related Disabilities and Their Implications
inferred← citeshttps://doi.org/10.5772/acrt.20250135openalex-snapshot
Challenges, Advances and Future Prospects of Vehicle Detection in Snow
inferred← citeshttps://doi.org/10.5937/vojtehg73-59271openalex-snapshot
A comprehensive review of control and guidance strategies for unmanned ground vehicles in lane tracking and leader-follower applications
inferred← citeshttps://doi.org/10.70675/f0dc8198z6430z49e5zb401z6b986963df8copenalex-snapshot
Collective intelligence strategies for efficient autonomous industrial vehicles
inferred← citeshttps://doi.org/10.7189/jogh.16.04245openalex-snapshot
Characteristics of media-reported road traffic crashes involving low-level automated vehicles in China, 2015–2025
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