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LAGUNA BEACH – A Tesla sedan that was traveling in autopilot mode crashed into a parked police vehicle in Laguna Beach Tuesday, according to KABC.Both vehicles were damaged after the crash, which sent the police vehicle sliding onto a sidewalk.The police SUV was unoccupied at the time of the crash and he driver of the Tesla sedan received minor injuries.Tesla previously said that its autopilot systems shouldn’t be used in spots with intersections, stop signs, red lights or suddenly changing traffic patterns.Drivers are also supposed to keep their hands on the wheel to maintain control of the vehicle, Tesla says.The circumstances surrounding the crash are unknown at this time. 692
LAKE ELSINORE, Calif. (KGTV) — A lack of rainfall this winter in Southern California could spare rural towns known for their "superbloom" springs from throngs of visitors.Riverside County parks official Dustin McLain told The Press-Enterprise that the chances of a "superbloom" in the Walker Canyon area are small after a dry January and February thus far.Last March, thousands of people overwhelmed parts of East County and rural Southern California communities to see how showers brought spring flowers."The Super Bloom has been unlike any event we have ever experienced before," Lake Elsinore Mayor Steve Manos said last year. "The extreme beauty of our hillsides that drew attention from around the world is now diminishing quickly, and our residents sure are eager for things to get back to normal."The season was highlighted by beautiful photos of flowers, but marred with reports of tourists destroying foliage and trails and clogging roadways to see the spectacle. Town were not prepared to handle to influx of visiting guests.California State Parks offers these rules and tips for visitors:Take only pictures, flower picking is prohibitedPick up all trashUnderstand the area; cell coverage may be spottyKnow your vehicle's limitsVisit the parks during the week and arrive early to beat the crowdsCheck weather conditions beforehandBring plenty of food and waterDrink plenty of water before your visit to remain hydrated and avoid heat-related emergenciesThe Associated Press contributed to this story. 1518

La política de armas ha sido un tema difícil por mucho tiempo, pero típicamente no ha sido un tema principal entre los votantes latinos hasta esta elección. Un estudio del Centro de Investigación Pew encontró que 7 de cada 10 votantes latinos quieren una legislación de armas más estricta. En El Paso, Texas, un tiroteo masivo que dejó 23 muertos y varios heridos ha provocado que la gente preste más atención a la política de armas y adopte una postura.Adrian Loera, quien vive en El Paso, practica su disparo frecuentemente. “Nunca se sabe cuándo va a pasar algo. Esa es una de las razones por las que obtuve mi licencia de arma de fuego, por los hechos que sucedieron aquí el a?o pasado ”, dijo Loera. Se refiere al 3 de agosto de 2019, cuando un hombre armado viajó cientos de millas hasta un Walmart en El Paso, con el único propósito de matar latinos. Loera dice que nunca había pensado en tener un arma. Ahora no solo tiene su arma, sino que también quiere asegurarse de que nadie le quite su derecho de portar un arma. Sus nuevas creencias podrían influir su voto en las próximas elecciones.El mismo evento horrible tuvo un impacto totalmente opuesto en Miranda Escobar Gregory. Mientras se para frente al nuevo memorial erigido para las 23 víctimas, recuerda el temor que sintió el día del tiroteo. Ella dice que toda la ciudad estuvo cerrada durante horas. "No es necesario tener una ametralladora gigante o una pistola semiautomática cuando se juega a lo seguro", dijo Escobar Gregory. Quiere que las armas de asalto estén prohibidas a nivel federal y una evaluación de salud mental sea parte del proceso de compra. En Texas, uno puede comprar un arma si pasa una verificación de antecedentes penales. Las solicitudes de licencia para portar armas han subido el último a?o en el estado de Texas.Quienes critican un proceso de compras más restrictivo dicen que hay otras tácticas que deben ser consideradas. "Otra ley que impida o intente evitar que los ciudadanos respetuosos de la ley tengan acceso no habría cambiado el resultado de ese día", dijo Richard García, director de entrenamiento de Sportsman Elite. García dice que es un defensor de la disminución de todos los tipos de violencia, pero siente que como país, debemos llegar al tema central de por qué siguen sucediendo estas cosas. “Creo que deberíamos avanzar hacia la raíz real del problema, que se remonta al individuo. ?Qué podemos aprender de la persona que hizo esto para evitar que algo así suceda en el futuro? ”, dijo García. García dice que se deben tener conversaciones para que podamos llegar a un compromiso. “Sé que no existe un compromiso perfecto, pero para eso están las leyes en los libros”, dijo García.Escobar Gregory dice que seguirá luchando por leyes de armas más estrictas y votará por quienes apoyen sus deseos. Mientras tanto, personas como Loera se apresuran a obtener una licencia para portar y comprar un arma, en temor de que les quiten el derecho de ser due?os de armas. 2982
LA JOLLA, Calif. (KGTV) - Researchers at UC San Diego have found a way to improve radar technology that can make self-driving cars safer."Our vision is to make self-driving cars much more safer than how we humans drive," says Dinesh Bharadia, an Assistant Professor of Electrical and Computer Engineering at UC San Diego.Bharadia led a team of researchers working on ways to help autonomous vehicles see in bad weather.Currently, he says, self-driving cars rely on LiDAR, a light-based radar system. But it's performance is limited because it uses a low frequency that reflects in bad weather.Bharadia says his team tested wireless radar, which has a higher frequency wavelength and found it can rain and fog.However, the wireless radar's sight range is limited. So Bharadia's team built a system where five wireless radars work together to create a more full "view" of the road."From each radar's vantage point, you see something different," says Bharadia. "Those different things, observed from five different radars, gives you much more detailed aspect ratio of another car (on the road)."Bharadia says the combination of all five radars helps create a 3-D image of other objects on the road. That helps the car's self-driving system figure out how to avoid them."You need to know the exact aspect ratio of the other cars on the road," he says. "Only then can you drive around them if you need to."Bharadia says carmakers like Toyota and Honda have been helping with the research and development. He thinks this new technology could be on the road within 2-3 years."Radars are already out there," he says. "We just need to plug in our software to make the cars more autonomous..."It's a simple technology that can be widely deployed and used to make our roads safer for everyone."Bharadia and his team will present their findings at the Sensys Conference this week. For more information about the technology, see the full news release here. 1951
LAS VEGAS (AP) — Evel Knievel’s son is on a collision course with the Walt Disney Co. and Pixar over a movie daredevil character named Duke Caboom. A federal trademark infringement lawsuit filed in Las Vegas accuses the moviemaker of improperly basing the “Toy Story 4” character on Knievel. Las Vegas-based K and K Promotions accuses Disney-owned Pixar of intentionally modeling the Caboom character, voiced by Keanu Reeves in the movie, after Knievel — although Knievel’s name is never mentioned.Knievel's famous stunts in the 1960s and ‘70s included motorcycle jumps over the Caesars Palace fountain in Las Vegas and a rocket shot into Snake River Canyon in Idaho. The Walt Disney Co. says it will defend itself from what it calls Knievel's meritless claims.“Evel Knievel did not thrill millions around the world, break his bones and spill his blood just so Disney could make a bunch of money,” Kelly Knievel said in a statement announcing the lawsuit.Knievel was seriously injured many times during more than 75 motorcycle jumps. He died in 2007 at 69 in Florida of lung disease, not in a crash. 1107
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