INSPIRATION
Autonomous vehicles or self-driving vehicles aim to minimize the need for human drivers and look poised to transform everyday transportation. Fleets of AVs expand the scope of last-mile deliveries, reduce downtime, and aim to make public transportation relatively safer. For example, by reducing accidents caused due to driver fatigue or negligence. AVs are equipped with advanced recognition technologies, such as AI-enhanced computer vision to identify obstacles along the route.
The US-based startup Intvo develops a pedestrian behavior prediction technology. Unlike two-dimensional (2D) and three-dimensional (3D) object detection technologies that consider limited parameters, their solution checks for head position, eye contact, and leg movements of the pedestrians,
weather conditions, and assigns a risk level. This reduces false positives in pedestrian detection and enhances the safety of autonomous vehicles.
The US-based startup Udelv provides autonomous vehicles for last-mile deliveries. It combines advanced AI algorithms and hyper-speed teleoperations for human-assisted guidance in unique situations. The startup’s vans have a payload capacity of approx. 360 kg (800+ lbs) and reach speeds up to approx 100 km/h (60 mi/h). The vans deliver groceries from nearby stores and send out a push notification when
the order arrives.
