Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …

The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

Drivers drive for long hours which deteriorates their health. Due to this, the drivers are often
tired and often on the verge of fatigue. This leads them to have bursts of microsleep ie a …

This paper presents the challenges that researchers must overcome in traffic light
recognition (TLR) research and provides an overview of ongoing work. The aim is to …

The outdoor perception problem is a major challenge for driver-assistance and autonomous
vehicle systems. While these systems can often employ active sensors such as sonar, radar …

A computer vision-based wayfinding and navigation aid can improve the mobility of blind
and visually impaired people to travel independently. In this paper, we develop a new …

The accurate detection and recognition of traffic lights is important for autonomous vehicle
navigation and advanced driver aid systems. In this paper, we present a traffic light …

Reliable real-time detection of traffic lights is a major concern for the task of autonomous
driving. As deep convolutional networks have proven to be a powerful tool in visual object …

Traffic light recognition (TLR) detects the traffic light from an image and then estimates the
state of the light signal. TLR is important for autonomous vehicles because running against a …

Autonomous terrestrial vehicles must be capable of perceiving traffic lights and recognizing
their current states to share the streets with human drivers. Most of the time, human drivers …