Man finds poop on his roof, and if that wasn't bad enough, it led to a mountain lion encounter Sydney Thomas dominates the red carpet in Cannes as her star continues to rise, new MLB power couple & MEAT! Viral staff photo reveals just how bloated Stephen Colbert's'Late Show' operation really was Four of the most controversial television finales in honor of'The Boys' despised ending Sophie Cuningham has heads spinning with her pregame outfit, Colbert's final jab & lessons from Kyle Busch Adrenaline-packed preview released for upcoming D-Day film'Pressure,' features loaded cast Kacey Musgraves responds to'fat activist' furious because she can't fit into her new Walmart clothing line Selena Gomez is reportedly bringing her talents to award-winning director's new four-hour X-rated movie Minka Kelly uncorks a heater at 45, ABS backfires spectacularly and LSU parents vs a security guard! Robot's lifeless corpse hauled off stage after fall during disastrous Michael Jackson impression Gov. Newsom declares emergency after dangerous chemical tank scare triggers evacuations in Orange County Iranian official THREATENS to'make Americans miserable' as US talks continue Concerns grow over young men, online extremism: 'We have a problem in this country' Gold Star families deliver powerful Memorial Day message: 'Freedom is not free' Former Bush official says potential Iran deal could be'world-changing' Iranian military official threatens to make'American people miserable' amid US talks Trump slams'failed' Obama administration over previous Iran deal Tunnel to Towers remembers the sacrifices of America's bravest this Memorial Day Cornyn says he hasn't spoken to Trump since president endorsed Paxton Rep. Ro Khanna explains calls for Supreme Court shake-up Screencaps Livvy Dunne reacts to viral video showing her being profane in Canada, Indy 500 fans gone wild & MEAT! Did you hear the TV and radio calls? Concerns grow over young men, online extremism: 'We have a problem in this country' Legal and political strategist Katie Zacharia joins'Fox & Friends First' to discuss the armed suspect killed near the White House, growing concerns over political extremism and the ongoing threats facing President Donald Trump.

WNBA superstar Caitlin Clark will be the grand marshal of this year's Indianapolis 500 Victor Wembanyama's historic game one performance was personal, Spurs star reveals in postgame interview Dana White says gnats at Trump's White House Rose Garden dinner raised concerns for outdoor UFC events High school athlete slams CIF's shared podium rule as humiliating response that fails female competitors Kuwaiti Muslim jiu-jitsu champion refuses Israeli athlete's handshake: 'We do not respect them at all' Caitlin Clark's fiery Fever teammate tells WNBA haters to relax with perfect three-word response Red Sox legend Jason Varitek's wife appears to take massive swipe at team after ugly ouster Taiwan warns US about China's regional ambitions as Trump weighs arms deal Nate Bargatze takes clean comedy to big screen with'The Breadwinner' Retired vice admiral on Iran standoff: Trump has'time on his hands' Jury dismisses Elon Musk's lawsuit against OpenAI and Sam Altman Strikes must resume if Iran fails to negotiate'in good faith': Brig Gen John Teichert Trace Gallagher: What does liberal America want? 'Rededicate 250' faith event draws thousands to DC OutKick-Sports Brendan Sorsby's lawsuit against NCAA could set a dangerous precedent in college sports moving forward Chris Fallica weighs in on the Brendan Sorby sports betting incident. Fallica is skeptical on if Sorsby will even play college sports again after checking himself into a betting rehab. Brendan Sorsby's college football career should likely be over, according to rules put in place, after the gambling revelations detailed this week in a lawsuit filed against the NCAA by his own attorneys. At a time when athletes are suing the NCAA over nearly every restriction tied to earning opportunities, this case feels far more straightforward.

For decades, motorsport has been an incubator for innovations in the automotive sector and brought forth systems like disk brakes or rearview mirrors. Autonomous racing series such as Roborace, F1Tenth, or the Indy Autonomous Challenge (IAC) are envisioned as playing a similar role within the autonomous vehicle sector, serving as a proving ground for new technology at the limits of the autonomous systems capabilities. This paper outlines the software stack and approach of the TUM Autonomous Motorsport team for their participation in the Indy Autonomous Challenge, which holds two competitions: A single-vehicle competition on the Indianapolis Motor Speedway and a passing competition at the Las Vegas Motor Speedway. Nine university teams used an identical vehicle platform: A modified Indy Lights chassis equipped with sensors, a computing platform, and actuators. All the teams developed different algorithms for object detection, localization, planning, prediction, and control of the race cars. The team from TUM placed first in Indianapolis and secured second place in Las Vegas. During the final of the passing competition, the TUM team reached speeds and accelerations close to the limit of the vehicle, peaking at around 270 km/h and 28 ms2. This paper will present details of the vehicle hardware platform, the developed algorithms, and the workflow to test and enhance the software applied during the two-year project. We derive deep insights into the autonomous vehicle's behavior at high speed and high acceleration by providing a detailed competition analysis. Based on this, we deduce a list of lessons learned and provide insights on promising areas of future work based on the real-world evaluation of the displayed concepts.

This paper describes Ariel Team's autonomous racing controller for the Indy Autonomous Challenge (IAC) simulation race. IAC is the first multi-vehicle autonomous head-to-head competition, reaching speeds of 300 km/h along an oval track, modeled after the Indianapolis Motor Speedway (IMS). Our racing controller attempts to maximize progress along the track while avoiding collisions with opponent vehicles and obeying the race rules. To this end, the racing controller first computes a race line offline. Then, it repeatedly computes online a small set of dynamically feasible maneuver candidates, each tested for collision with the opponent vehicles. Finally, it selects the maneuver that maximizes progress along the track, taking into account the race line. The maneuver candidates, as well as the predicted trajectories of the opponent vehicles, are approximated using a point mass model. Despite the simplicity of this racing controller, it managed to drive competitively and with no collision with any of the opponent vehicles in the IAC final simulation race.

Motorsport has always been an enabler for technological advancement, and the same applies to the autonomous driving industry. The team TUM Auton-omous Motorsports will participate in the Indy Autonomous Challenge in Octo-ber 2021 to benchmark its self-driving software-stack by racing one out of ten autonomous Dallara AV-21 racecars at the Indianapolis Motor Speedway. The first part of this paper explains the reasons for entering an autonomous vehicle race from an academic perspective: It allows focusing on several edge cases en-countered by autonomous vehicles, such as challenging evasion maneuvers and unstructured scenarios. At the same time, it is inherently safe due to the motor-sport related track safety precautions. It is therefore an ideal testing ground for the development of autonomous driving algorithms capable of mastering the most challenging and rare situations. In addition, we provide insight into our soft-ware development workflow and present our Hardware-in-the-Loop simulation setup. It is capable of running simulations of up to eight autonomous vehicles in real time. The second part of the paper gives a high-level overview of the soft-ware architecture and covers our development priorities in building a high-per-formance autonomous racing software: maximum sensor detection range, relia-ble handling of multi-vehicle situations, as well as reliable motion control under uncertainty.

You want to find network errors fast and need a reliable tool. You are not alone, try Fiddler Everywhere free for 30-days and let this all in one web debugging solution deliver the successful outcomes you expect. My name is Roland Meertens, editor for AI and machine learning at InfoQ and product manager at Annotell. Today I will host the podcast and I will be talking with Joe, Sebastian, and Florian about the Indy Autonomous Challenge and how they managed to win it. Could you maybe introduce yourself to the listeners and tell them about what the Indy Autonomous Challenge is? Joe Speed: Sure, happy to. I'm a technical advisor for the Indy Autonomous Challenge, which is an amazing university challenge for autonomous racing. I was part of the TUM Autonomous Motorsport team. We managed to win the challenge in the end, and my main responsibilities were the mapping and localization part. And my main responsibility in our team was the perception, mainly the object detection. Roland Meertens: All right, maybe we can get started with you Joe. Maybe you can say that about what this Indy Autonomous Challenge is. Joe Speed: It's an amazing program. So, a lot of this is anecdotal. So Sebastian Thrun, who is very much like the godfather of modern autonomous driving, he had won the DARPA Grand Challenge. He was out at Indy and had commented something like, "Some of the things happening autonomy are not that exciting to me anymore, but if this, if the Indy 500 was autonomous, that would be interesting.

A student-led team of robotics experts will participate in the penultimate event next week for an international challenge that could pave the way for future breakthrough innovations in the world of autonomous vehicles. It should, given Pittsburgh universities' history of performing well in challenges such as the DARPA Grand Challenge, DARPA Urban Challenge or the 2012-2015 Robotics Challenge. But this time it's not a Carnegie Mellon University-led team that is preparing – it's a student group of roboticists from the University of Pittsburgh readying itself for next week's Indy Autonomous Challenge finals on October 23rd. The goal of the challenge is a race around the famous Indianapolis Motor Speedway in self-driving cars – the grand prize of $1 million is up for grabs. Leading the team is Nayana Suvarna, the head of Pitt's Robotics & Automation Society (RAS), a robotics club at the school that pursues robotics education opportunities (the school doesn't have a formal robotics program).

In October, a modified Dallara-15 Indy Lights race car programmed by MIT Driverless will hit the famed Indianapolis Motor Speedway at speeds of up to 120 miles per hour. The Indy Autonomous Challenge (IAC) is the world's first head-to-head, high-speed autonomous race. It offers MIT Driverless a chance to grab a piece of the $1.5 million purse while outmaneuvering fellow university innovators on what is arguably the most iconic racecourse. But the IAC has implications beyond the track. Stakeholders for the event include Sebastian Thrun, a former winner of the DARPA Grand Challenge for autonomous vehicles, and Reilly Brennan, a lecturer at Stanford University's Center for Automotive Research and a partner at Trucks Venture Capital.

Next year, a squad of souped-up Dallara race cars will reach speeds of up to 200 miles per hour as they zoom around the legendary Indianapolis Motor Speedway to discover whether a computer could be the next Mario Andretti. The planned Indy Autonomous Challenge--taking place in October 2021 in Indianapolis--is intended for 31 university computer science and engineering teams to push the limits of current self-driving car technology. There will be no human racers sitting inside the cramped cockpits of the Dallara IL-15 race cars. Instead, onboard computer systems will take their place, outfitted with deep-learning software enabling the vehicles to drive themselves. In order to win, a team's autonomous car must be able to complete 20 laps--which equates to a little less than 50 miles in distance--and cross the finish line first in 25 minutes or less.

One factor that could prevent a similar outcome in the upcoming race is the ability to test-run cars on a virtual racetrack. The simulation software company Ansys Inc. has already developed a model of the Indianapolis Motor Speedway on which teams will test their algorithms as part of a series of qualifying rounds. "We can create, with physics, multiple real-life scenarios that are reflective of the real world," Ansys President Ajei Gopal told The Wall Street Journal. "We can use that to train the AI, so it starts to come up to speed." Still, the race could reveal that self-driving cars aren't quite ready to race at speeds of over 110 mph.