A low-power biomimetic collision detector based on an in-memory molybdenum disulfide photodetector
Accurately detecting a potential collision and triggering a timely escape response is critical
in the field of robotics and autonomous vehicle safety. The lobula giant movement detector …
in the field of robotics and autonomous vehicle safety. The lobula giant movement detector …
Insect-inspired neuromorphic computing
Highlights•Neuromorphic computing is a paradigm taking inspiration from animal nervous
systems.•Their size and methods for their study make insects a realistic starting …
systems.•Their size and methods for their study make insects a realistic starting …
Collision detection in complex dynamic scenes using an LGMD-based visual neural network with feature enhancement
The lobula giant movement detector (LGMD) is an identified neuron in the locust brain that
responds most strongly to the images of an approaching object such as a predator. Its …
responds most strongly to the images of an approaching object such as a predator. Its …
Bio-inspired embedded vision system for autonomous micro-robots: The LGMD case
In this paper, we present a new bio-inspired vision system embedded for micro-robots. The
vision system takes inspiration from locusts in detecting fast approaching objects …
vision system takes inspiration from locusts in detecting fast approaching objects …
Parameter optimization and learning in a spiking neural network for UAV obstacle avoidance targeting neuromorphic processors
The Lobula giant movement detector (LGMD) is an identified neuron of the locust that
detects looming objects and triggers the insect's escape responses. Understanding the …
detects looming objects and triggers the insect's escape responses. Understanding the …
A robust visual system for looming cue detection against translating motion
Collision detection is critical for autonomous vehicles or robots to serve human society
safely. Detecting looming objects robustly and timely plays an important role in collision …
safely. Detecting looming objects robustly and timely plays an important role in collision …
A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment
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 …
preferentially respond to objects approaching the eye of a locust on a direct collision course …
Obstacle avoidance with LGMD neuron: towards a neuromorphic UAV implementation
L Salt, G Indiveri… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
We present a neuromorphic adaptation of a spiking neural network model of the locust
Lobula Giant Movement Detector (LGMD), which detects objects increasing in size in the …
Lobula Giant Movement Detector (LGMD), which detects objects increasing in size in the …
A bio-inspired visual collision detection mechanism for cars: combining insect inspired neurons to create a robust system
The lobula giant movement detector (LGMD) of locusts is a visual interneuron that responds
with an increasing spike frequency to an object approaching on a direct collision course …
with an increasing spike frequency to an object approaching on a direct collision course …
Enhancing LGMD's looming selectivity for UAV with spatial–temporal distributed presynaptic connections
Collision detection is one of the most challenging tasks for unmanned aerial vehicles
(UAVs). This is especially true for small or micro-UAVs due to their limited computational …
(UAVs). This is especially true for small or micro-UAVs due to their limited computational …