Kevin Jost

According to James Jeffs, Senior Technology Analyst at IDTechEx, the rate of autonomous technology improvement demonstrates the potential for them to far exceed human levels of safety in the future.

The startup plans to integrate its vehicles into the existing rail network alongside conventional freight trains, setting the path for customer testing on U.S. railways and its long-term goal of decarbonizing freight on rail.

Founded by industry experts Bryan Salesky, Peter Rander, and Brett Browning and backed by SoftBank Group, the Pittsburgh-based company is developing AI-powered technology to maximize trucks’ uptime, optimize existing infrastructure, minimize emissions, and most importantly improve roadway safety.

The supplier now offers video perception as a modular software package that can be used on various systems on chips so customers can put together assisted and automated driving and parking solutions that best suit their needs.

At the IAA Mobility 2023 show next week, Schaeffler will exhibit the first electric demonstrator and its electrification and steering technology and the plans for Mobileye to provide its SAE Level 4 autonomous driving system.

This week’s best practice for developing ADS safety performance thresholds based on human driving behavior follows last month’s publication for continuous monitoring and improvement after deployment, as its Automated Vehicle Safety Consortium accelerates support for AV advancement.

The Apex.AI development environment will enable prototype functions developed by Krone and Lemken for their Combined Powers project for autonomous drive farm vehicle and attachments to be transferred to safety-certifiable production system.

At the CAR Management Briefing Seminars earlier this month, Ghost Autonomy’s CEO discussed how his company designing for the volume car market with software that runs on commodity hardware designed with universal AI, no HD maps, and fully auto-labeled training data.

The technology, to be integrated by ECARX, is planned to offer eyes-off, point-to-point autonomous driving on highways, as well as eyes-on automated driving for other environments in identified operational design domains.

The card paired with Recogni’s SDK provides greater development and deployment flexibility for any autonomous mobility use case for what it says is the world’s first 1000 TOPS class inference solution.