Self-Driving Cars: Formalization and Verification Of The Responsibility-Sensitive Safety (RSS) Model


A technical paper titled “Slow Down, Move Over: A Case Study in Formal Verification, Refinement, and Testing of the Responsibility-Sensitive Safety Model for Self-Driving Cars” was published by researchers at Carnegie Mellon University. Abstract: "Technology advances give us the hope of driving without human error, reducing vehicle emissions and simplifying an everyday task with the futur... » read more

Autonomous Driving: End-to-End Surround 3D Camera Perception System (NVIDIA)


A new technical paper titled "NVAutoNet: Fast and Accurate 360∘ 3D Visual Perception For Self Driving" was published by researchers at NVIDIA. Abstract "Robust real-time perception of 3D world is essential to the autonomous vehicle. We introduce an end-to-end surround camera perception system for self-driving. Our perception system is a novel multi-task, multi-camera network which takes a... » read more

Weird Incidents Reveal L5 Challenges


A series of surprising, counterintuitive, and sometimes bizarre incidents reveal the challenges of achieving full Level 5 autonomy in self-driving vehicles, which are an increasingly common site in major cities. While it’s easy to dismiss such anecdotes as humorous glitches compared with the sobering accounts of autonomous tech-related injuries and fatalities, industry executives say these oc... » read more

Verify Perception Systems Virtually Via Accurate Fog Models


Under every lighting level and weather condition, cameras must reliably “see” pedestrians and other physical objects ― and trigger an appropriate reaction from critical systems such as braking. This is especially challenging in foggy conditions, which can confuse visual cameras, radar, lidar and other conventional sensor technologies. Thermal imaging represents a potential solution, helpi... » read more

Neuromorphic Computing: Challenges, Opportunities Including Materials, Algorithms, Devices & Ethics


This new research paper titled "2022 roadmap on neuromorphic computing and engineering" is from numerous researchers at Technical University of Denmark, Instituto de Microelectrónica de Sevilla, CSIC, University of Seville, and many others. Partial Abstract: "The aim of this roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the chall... » read more

Data Fusion Scheme For Object Detection & Trajectory Prediction for Autonomous Driving


New research paper titled "Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving" from researchers at Uber. Abstract "We present an end-to-end method for object detection and trajectory prediction utilizing multi-view representations of LiDAR returns. Our method builds on a state-of-the-art Bird's-Eye View (BEV) network that fuses voxelized featur... » read more

Making More Reliable And More Efficient Auto ICs


Sam Geha, executive vice president of memory solutions at Infineon Technologies, sat down with Semiconductor Engineering to talk about automotive chips, supply chain issues, and integration challenges. What follows are excerpts of that conversation. SE: How do you build an automotive chip that will work in any environment? Geha: The automotive market is, of course, one of the most demand... » read more

Advanced Real‐Time Video Image Recognition


In this 4-page paper, created with the participation of Mobileye, you will learn how the world's #1 vision-based ADAS company uses Arteris FlexNoC interconnect IP to address demanding high bandwidth and low-latency requirements. By using FlexNoC interconnect IP for its EyeQ3 and EyeQ4 product lines, Mobileye was able to address the following issues: Maintain low latency while connecting... » read more

Why Designing ICs From The Ground Up For Automotive Applications Matters


Today's cars are computers on wheels, with multiple systems talking to each other constantly to deliver intelligence that keeps drivers and passengers safe, comfortable, and entertained while taking them from point A to point B. While we're not quite ready to completely welcome fully autonomous self-driving cars on our roadways, we are experiencing the benefits of Level 2 and Level 3 autonomous... » read more

Week In Review: Auto, Security, Pervasive Computing


Synopsys has added nanoscale and macroscale illumination optics to its RSoft Photonic Device Tools version 2020.03. ARVR designers can use the RSoft-LightTools Bidirectional Scattering Distribution Function (BSDF) interface to make interpolated BSDF files for optimized nanoscale and macroscale optics, such as freeform optical prism projectors, eye tracking technologies, and optical planar waveg... » read more

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