Self-driving cars: A survey
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …
cars developed since the DARPA challenges, which are equipped with an autonomy system …
Overview of environment perception for intelligent vehicles
This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
The nature of feelings: evolutionary and neurobiological origins
A Damasio, GB Carvalho - Nature reviews neuroscience, 2013 - nature.com
Feelings are mental experiences of body states. They signify physiological need (for
example, hunger), tissue injury (for example, pain), optimal function (for example, well …
example, hunger), tissue injury (for example, pain), optimal function (for example, well …
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
Traffic signs are characterized by a wide variability in their visual appearance in real-world
environments. For example, changes of illumination, varying weather conditions and partial …
environments. For example, changes of illumination, varying weather conditions and partial …
Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey
A Mogelmose, MM Trivedi… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
In this paper, we provide a survey of the traffic sign detection literature, detailing detection
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …
Traffic sign detection and recognition using fully convolutional network guided proposals
Detecting and recognizing traffic signs is a hot topic in the field of computer vision with lots of
applications, eg, safe driving, path planning, robot navigation etc. We propose a novel …
applications, eg, safe driving, path planning, robot navigation etc. We propose a novel …
DeepThin: A novel lightweight CNN architecture for traffic sign recognition without GPU requirements
For a safe and automated vehicle driving application, it is a prerequisite to have a robust and
highly accurate traffic sign detection system. In this paper, we proposed a novel energy …
highly accurate traffic sign detection system. In this paper, we proposed a novel energy …
Real-time detection and recognition of road traffic signs
J Greenhalgh, M Mirmehdi - IEEE transactions on intelligent …, 2012 - ieeexplore.ieee.org
This paper proposes a novel system for the automatic detection and recognition of traffic
signs. The proposed system detects candidate regions as maximally stable extremal regions …
signs. The proposed system detects candidate regions as maximally stable extremal regions …
Vision-based traffic sign detection and recognition systems: Current trends and challenges
The automatic traffic sign detection and recognition (TSDR) system is very important
research in the development of advanced driver assistance systems (ADAS). Investigations …
research in the development of advanced driver assistance systems (ADAS). Investigations …
An incremental framework for video-based traffic sign detection, tracking, and recognition
Video-based traffic sign detection, tracking, and recognition is one of the important
components for the intelligent transport systems. Extensive research has shown that pretty …
components for the intelligent transport systems. Extensive research has shown that pretty …