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Chaotic microcomb inertia-free parallel ranging

Publications associées (37)

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A novel manifold learning approach is presented to incorporate computationally efficient obstacle avoidance constraints in optimal control algorithms. The method presented provides a significant computational benefit by reducing the number of constraints r ...

2019

Object Classification Based on Unsupervised Learned Multi-Modal Features For Overcoming Sensor Failures

Roland Siegwart

For autonomous driving applications it is critical to know which type of road users and road side infrastructure are present to plan driving manoeuvres accordingly. Therefore autonomous cars are equipped with different sensor modalities to robustly perceiv ...

2019

We consider the problem of trajectory planning in an environment comprised of a set of obstacles with uncertain locations. While previous approaches model the uncertainties with a prescribed Gaussian distribution, we consider the realistic case in which th ...

IEEE2019

Using A Priori Knowledge to Improve Scene Understanding

Alexandre Massoud Alahi

Semantic segmentation algorithms that can robustly segment objects across multiple camera viewpoints are crucial for assuring navigation and safety in emerging applications such as autonomous driving. Existing algorithms treat each image in isolation, but ...

IEEE2019

Pedestrian Image Generation for Self-driving Cars

Alexandre Massoud Alahi, Saeed Saadatnejad

Pedestrian image generation in the desired pose can be used in a wide range of applications e.g., person re-identification and tracking which are among the fundamental challenges in self-driving cars. This is a hard task because it should be invariant to a ...

2019

Ultrafast optical ranging using microresonator soliton frequency combs

Tobias Kippenberg, Maxim Karpov, Martin Hubert Peter Pfeiffer, Arne Kordts

Light detection and ranging is widely used in science and industry. Over the past decade, optical frequency combs were shown to offer advantages in optical ranging, enabling fast distance acquisition with high accuracy. Driven by emerging high-volume appli ...

2018

The SaPPART COST Action: main outcomes and deliverables

Pierre-Yves Gilliéron

The deployment of autonomous vehicles is becoming a reality on the European road network and will significantly affect the future liability of different actors in the road and transport sectors. Liability is strongly linked with the trust that you can have ...

2017

Robust Control Policies Given Formal Specifications in Uncertain Environments

Maryam Kamgarpour, Tony Alan Wood

We consider robust control synthesis for linear systems with complex specifications that are affected by uncertain disturbances. This letter is motivated by autonomous systems interacting with partially known, time-varying environments. Given a specificati ...

2017

Environmental Monitoring using Autonomous Vehicles: A Survey of Recent Searching Techniques

Auke Ijspeert, Alessandro Crespi

Autonomous vehicles are becoming an essential tool in a wide range of environmental applications that include ambient data acquisition, remote sensing, and mapping of the spatial extent of pollutant spills. Among these applications, pollution source locali ...

Elsevier2017

Laplace Beamshapes for Phased-Array Imaging

Paul Hurley, Matthieu Martin Jean-André Simeoni

The imaging capabilities of phased-array systems are governed by the properties of their array beamshape, directly linked to the instrument impulse response. To ensure good spatial resolution, beamshapes are designed with a very narrow main lobe, at the co ...

2016