Vision is expected to play important roles for car safety enhancement. Imaging systems can
be used to enlarging the vision field of the driver. For instance capturing and displaying …

In this paper a bioinspired algorithm for collision detection is proposed, based on previous
models of the locust (Locusta migratoria) visual system reported by FC Rind and her group …

An analog VLSI implementation of a smart microsensor that mimics the early visual
processing stage in insects is described with an emphasis on the overall concept and the …

Insects tend to detect motion rather than images and this together with inherent parallelism
in their visual architecture, leads to an efficient and compact means of collision avoidance. A …

Vision-based automotive safety systems have received considerable attention over the past
decade. Such systems have advantages compared to those based on other types of sensors …

Publisher Summary In this chapter, the achievements in vision-based driver assistance at
DaimlerChrysler are described. The chapter presents the systems that have been developed …

ITS can use machine vision to detect lane markings, vehicles, pedestrians, road signs, traffic
conditions, traffic incidents, and even driver drowsiness. Challenges include making …

The use of computer vision for assisting the driver dates back to first research projects in
1980s, but only recently the progress in vision research and the increase in computational …

The lobula giant movement detector (LGMD) neuron of locusts has been shown to
preferentially respond to objects approaching the eye of a locust on a direct collision course …

Various sensing technologies are used today for collision avoidance, blind spot detection,
and other vision enhancing systems in luxury vehicles. These sensing technologies include …