In the new paper FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing, a UC Berkeley research team proposes FastRLAP (Fast Reinforcement Learning via Autonomous Practicing), a system that autonomously practices in the real world and learns aggressive maneuvers to enable effective high-speed driving.
A hot topic today is Intelligent Pilot Systems, an automotive driving concept comprising a smart vehicle assistant that enables a user to interact with the vehicle via voice; and intelligent mechanized function control for car entertainment, safety, autonomous driving and navigation.
A year ago, Shenzhen-based self-driving start-up Roadstar.ai was cruising along promisingly. In May 2018 the company announced a US$128 million funding round led by Wu Capital and state-backed Shenzhen Capital Group — one of the largest autonomous driving investments ever in China.
Last December Synced compiled its first “Artificial Intelligence Failures” recap of AI gaffes from the previous year. AI has achieved remarkable progress, and many scientists dream of creating the Master Algorithm proposed by Pedro Domingos — which can solve all problems envisioned by humans.
Baidu today announced plans for a comprehensive self-driving taxi and bus service in Changsha, the capital of southern Hunan province and birthplace of Mao Zedong. Baidu has signed a partnership agreement with the Changsha Municipal People’s Government and Hunan Xiangjiang New Area Development Group that aims to reinvent the local commute.
A typical JD motorcycle deliveryman in Shanghai delivers 100 packages per day, racing along the city’s waterfront, navigating tiny alleyways and darting between the city’s skyscrapers. That may seem impressive but JD is still striving to improve motorcycle delivery efficiency with new tech — much of it AI-powered.
Meituan, one of China’s biggest group buying service providers, today announced an ambitious strategy to support autonomous delivery vehicles: “The company is going to use self-driving technologies to build the world’s largest interactive platform for intelligent delivery, and to speed up the development of unmanned delivery technology.”
Innoviz is a two-year-old Israeli provider of LiDAR remote sensing solutions. The company took a leap forward in the solid state LiDAR field recently by scoring a couple of important partnerships: BMW chose solid-state Innoviz LiDAR sensors and computer vision tech to enable its Level 3-5 autonomous vehicles in April…
David Danks commented on self-driving vehicle testing on the streets of his Pittsburgh neighbourhood: “They’re boring. You don’t notice them anymore because you see them five to ten times every day. People started to walk more and more frequently directly in front of the Uber cars, disproportionately more than they would ever in front of a human-driven car.”
New Chinese regulations will permit self-driving vehicle testing on public roads across the country.
The Chinese Ministry of Industry and Information Technology, Ministry of Public Security, and Ministry of Transport yesterday jointly issued the Intelligent Connected Vehicle Road Test Management Standards…
Chip giant NVIDIA Founder and CEO Jensen Huang created a bit of a stir at yesterday’s GPU Technology Conference in Santa Clara, USA, when he appeared to dis one of these chips’ appropriateness for autonomous vehicle system development: “FPGA is not the right answer,” he said.
Baidu announced today that self-driving startup JingChi has joined its open-source autonomous driving platform Apollo as a cooperative partner. JingChi’s new CEO Tony Han said in a statement, “JingChi is pleased to join Apollo, and is willing to grow fast with Apollo’s help.”